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Erschienen in: The International Journal of Advanced Manufacturing Technology 5-6/2020

28.03.2020 | ORIGINAL ARTICLE

A review of prognostics and health management of machine tools

verfasst von: Marco Baur, Paolo Albertelli, Michele Monno

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 5-6/2020

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Abstract

This paper presents a survey of the applications of prognostics and health management maintenance strategy to machine tools. A complete perspective on this Industry 4.0 cutting-edge maintenance policy, through the analysis of all its preliminary phases, is given as an introduction. Then, attention is given to prognostics, whose different approaches are briefly classified and explained, pointing out their advantages and shortcomings. After that, all the works on prognostics of machine tools and their main subsystem are reviewed, highlighting current open research areas for improvement.

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Fußnoten
1
See [23] for a historical-perspective clear introduction to the different inference paradigms today existing
 
Literatur
1.
Zurück zum Zitat Abellan-Nebot J, Romero Subirón F (2010) A review of machining monitoring systems based on artificial intelligence process models. Int J Adv Manuf Technol 47(1-4):237–257 Abellan-Nebot J, Romero Subirón F (2010) A review of machining monitoring systems based on artificial intelligence process models. Int J Adv Manuf Technol 47(1-4):237–257
2.
Zurück zum Zitat Abu-Mostafa YS, Magdon-Ismail M, Lin HT (2012) Learning from data, vol 4. AMLBook, New York Abu-Mostafa YS, Magdon-Ismail M, Lin HT (2012) Learning from data, vol 4. AMLBook, New York
3.
Zurück zum Zitat Albertelli P, Goletti M, Torta M, Salehi M, Monno M (2016) Model-based broadband estimation of cutting forces and tool vibration in milling through in-process indirect multiple-sensors measurements. Int J Adv Manuf Tech 82(5-8):779–796 Albertelli P, Goletti M, Torta M, Salehi M, Monno M (2016) Model-based broadband estimation of cutting forces and tool vibration in milling through in-process indirect multiple-sensors measurements. Int J Adv Manuf Tech 82(5-8):779–796
4.
Zurück zum Zitat Albrecht A, Park SS, Altintas Y, Pritschow G (2005) High frequency bandwidth cutting force measurement in milling using capacitance displacement sensors. Int J Mach Tools Manuf 45(9):993–1008 Albrecht A, Park SS, Altintas Y, Pritschow G (2005) High frequency bandwidth cutting force measurement in milling using capacitance displacement sensors. Int J Mach Tools Manuf 45(9):993–1008
5.
Zurück zum Zitat Ao Y, Qiao G (2010) Prognostics for drilling process with wavelet packet decomposition. Int J Adv Manuf Tech 50(1-4):47–52 Ao Y, Qiao G (2010) Prognostics for drilling process with wavelet packet decomposition. Int J Adv Manuf Tech 50(1-4):47–52
7.
Zurück zum Zitat Benkedjouh T, Medjaher K, Zerhouni N, Rechak S (2015) Health assessment and life prediction of cutting tools based on support vector regression. J Intell Manuf 26(2):213–223 Benkedjouh T, Medjaher K, Zerhouni N, Rechak S (2015) Health assessment and life prediction of cutting tools based on support vector regression. J Intell Manuf 26(2):213–223
8.
Zurück zum Zitat Bishop CM (2006) Pattern recognition and machine learning (information science and statistics). Springer, berlinMATH Bishop CM (2006) Pattern recognition and machine learning (information science and statistics). Springer, berlinMATH
9.
Zurück zum Zitat Bunks C, McCarthy D, Al-Ani T (2000) Condition-based maintenance of machines using hidden markov models. Mech Syst Signal Process 14(4):597–612 Bunks C, McCarthy D, Al-Ani T (2000) Condition-based maintenance of machines using hidden markov models. Mech Syst Signal Process 14(4):597–612
10.
Zurück zum Zitat Byington CS, Watson M, Edwards D, Dunkin B (2003) In-line health monitoring system for hydraulic pumps and motors. In: Aerospace conference, 2003. proceedings. 2003 IEEE, vol. 7, pp. 3279–3287. IEEE Byington CS, Watson M, Edwards D, Dunkin B (2003) In-line health monitoring system for hydraulic pumps and motors. In: Aerospace conference, 2003. proceedings. 2003 IEEE, vol. 7, pp. 3279–3287. IEEE
11.
Zurück zum Zitat Byington CS, Watson M, Edwards D, Stoelting P (2004) A model-based approach to prognostics and health management for flight control actuators. In: 2004 IEEE aerospace conference proceedings (IEEE Cat. No. 04TH8720), vol. 6, pp. 3551–3562. IEEE Byington CS, Watson M, Edwards D, Stoelting P (2004) A model-based approach to prognostics and health management for flight control actuators. In: 2004 IEEE aerospace conference proceedings (IEEE Cat. No. 04TH8720), vol. 6, pp. 3551–3562. IEEE
12.
Zurück zum Zitat Cao H, Zhang X, Chen X (2017) The concept and progress of intelligent spindles: a review. Int J Mach Tools Manuf 112: 21–52 Cao H, Zhang X, Chen X (2017) The concept and progress of intelligent spindles: a review. Int J Mach Tools Manuf 112: 21–52
13.
Zurück zum Zitat Catelani M, Ciani L, Cristaldi L, Faifer M, Lazzaroni M, Khalil M (2015) Toward a new definition of fmeca approach. In: 2015 IEEE International instrumentation and measurement technology conference (i2MTC) proceedings, pp. 981–986. IEEE Catelani M, Ciani L, Cristaldi L, Faifer M, Lazzaroni M, Khalil M (2015) Toward a new definition of fmeca approach. In: 2015 IEEE International instrumentation and measurement technology conference (i2MTC) proceedings, pp. 981–986. IEEE
14.
Zurück zum Zitat Catelani M, Ciani L, Cristaldi L, Faifer M, Lazzaroni M, Rinaldi P (2011) Fmeca technique on photovoltaic module. In: 2011 IEEE International instrumentation and measurement technology conference, pp. 1–6. IEEE Catelani M, Ciani L, Cristaldi L, Faifer M, Lazzaroni M, Rinaldi P (2011) Fmeca technique on photovoltaic module. In: 2011 IEEE International instrumentation and measurement technology conference, pp. 1–6. IEEE
15.
Zurück zum Zitat Cecati C (2015) A survey of fault diagnosis and fault-tolerant techniques—part ii: Fault diagnosis with knowledge-based and hybrid/active approaches IEEE Transactions on Industrial Electronics Cecati C (2015) A survey of fault diagnosis and fault-tolerant techniques—part ii: Fault diagnosis with knowledge-based and hybrid/active approaches IEEE Transactions on Industrial Electronics
16.
Zurück zum Zitat Chen F, Chen X, Xie Q, Xu B (2015) Reliability analysis of numerical control lathe based on the field data. In: 2015 6Th international conference on manufacturing science and engineering. Atlantis press Chen F, Chen X, Xie Q, Xu B (2015) Reliability analysis of numerical control lathe based on the field data. In: 2015 6Th international conference on manufacturing science and engineering. Atlantis press
17.
Zurück zum Zitat Coble J, Wesley Hines J (2009) Identifying optimal prognostic parameters from data: a genetic algorithms approach Coble J, Wesley Hines J (2009) Identifying optimal prognostic parameters from data: a genetic algorithms approach
18.
Zurück zum Zitat Coppe A, Haftka RT, Kim NH, Yuan FG (2009) Reducing uncertainty in damage growth properties by structural health monitoring Coppe A, Haftka RT, Kim NH, Yuan FG (2009) Reducing uncertainty in damage growth properties by structural health monitoring
19.
Zurück zum Zitat Cristaldi L, Khalil M, Soulatiantork P (2017) A root cause analysis and a risk evaluation of pv balance of system failures. Acta Imeko 6:113–120 Cristaldi L, Khalil M, Soulatiantork P (2017) A root cause analysis and a risk evaluation of pv balance of system failures. Acta Imeko 6:113–120
20.
Zurück zum Zitat Cristaldi L, Leone G, Ottoboni R, Subbiah S, Turrin S (2016) A comparative study on data-driven prognostic approaches using fleet knowledge. In: Instrumentation and measurement technology conference proceedings (I2MTC), 2016 IEEE International, pp. 1–6. IEEE Cristaldi L, Leone G, Ottoboni R, Subbiah S, Turrin S (2016) A comparative study on data-driven prognostic approaches using fleet knowledge. In: Instrumentation and measurement technology conference proceedings (I2MTC), 2016 IEEE International, pp. 1–6. IEEE
21.
Zurück zum Zitat Djurdjanovic D, Lee J, Ni J (2003) Watchdog agent—an infotronics-based prognostics approach for product performance degradation assessment and prediction. Adv Eng Inform 17(3-4):109–125 Djurdjanovic D, Lee J, Ni J (2003) Watchdog agent—an infotronics-based prognostics approach for product performance degradation assessment and prediction. Adv Eng Inform 17(3-4):109–125
22.
Zurück zum Zitat Drouillet C, Karandikar J, Nath C, Journeaux AC, El Mansori M, Kurfess T (2016) Tool life predictions in milling using spindle power with the neural network technique. J Manuf Process 22:161–168 Drouillet C, Karandikar J, Nath C, Journeaux AC, El Mansori M, Kurfess T (2016) Tool life predictions in milling using spindle power with the neural network technique. J Manuf Process 22:161–168
23.
Zurück zum Zitat Efron B, Hastie T (2016) Computer age statistical inference, vol. 5. Cambridge University Press, CambridgeMATH Efron B, Hastie T (2016) Computer age statistical inference, vol. 5. Cambridge University Press, CambridgeMATH
24.
Zurück zum Zitat Gao Z, Cecati C, Ding SX (2015) A survey of fault diagnosis and fault-tolerant techniques—part i: Fault diagnosis with model-based and signal-based approaches. IEEE Trans Ind Electron 62(6):3757–3767 Gao Z, Cecati C, Ding SX (2015) A survey of fault diagnosis and fault-tolerant techniques—part i: Fault diagnosis with model-based and signal-based approaches. IEEE Trans Ind Electron 62(6):3757–3767
25.
Zurück zum Zitat Gittler T, Gontarz A, Weiss L, Wegener K (2019) A fundamental approach for data acquisition on machine tools as enabler for analytical industrie 4.0 applications. Procedia CIRP 79:586–591 Gittler T, Gontarz A, Weiss L, Wegener K (2019) A fundamental approach for data acquisition on machine tools as enabler for analytical industrie 4.0 applications. Procedia CIRP 79:586–591
26.
Zurück zum Zitat Goebel K, Eklund N, Bonanni P (2006) Fusing competing prediction algorithms for prognostics. In: Aerospace conference, 2006 IEEE, pp. 10–pp. IEEE Goebel K, Eklund N, Bonanni P (2006) Fusing competing prediction algorithms for prognostics. In: Aerospace conference, 2006 IEEE, pp. 10–pp. IEEE
27.
Zurück zum Zitat Gomes JPP, Leão BP, Vianna WO, Galvão RK, Yoneyama T (2012) Failure prognostics of a hydraulic pump using kalman filter. In: Annual conference of the prognostics and health management society Gomes JPP, Leão BP, Vianna WO, Galvão RK, Yoneyama T (2012) Failure prognostics of a hydraulic pump using kalman filter. In: Annual conference of the prognostics and health management society
28.
Zurück zum Zitat Gomes JPP, Rodrigues LR, Leão BP, Galvão RKH, Yoneyama T (2018) Using degradation messages to predict hydraulic system failures in a commercial aircraft. IEEE Trans Autom Sci Eng 15(1):214–224 Gomes JPP, Rodrigues LR, Leão BP, Galvão RKH, Yoneyama T (2018) Using degradation messages to predict hydraulic system failures in a commercial aircraft. IEEE Trans Autom Sci Eng 15(1):214–224
30.
Zurück zum Zitat He Z, Wang S, Wang K, Li K (2012) Prognostic analysis based on hybrid prediction method for axial piston pump. In: Industrial informatics (INDIN), 2012 10th IEEE international conference on, pp. 688–692. IEEE He Z, Wang S, Wang K, Li K (2012) Prognostic analysis based on hybrid prediction method for axial piston pump. In: Industrial informatics (INDIN), 2012 10th IEEE international conference on, pp. 688–692. IEEE
31.
Zurück zum Zitat Hu J, Tse PW (2013) A relevance vector machine-based approach with application to oil sand pump prognostics. Sensors 13(9):12663–12686 Hu J, Tse PW (2013) A relevance vector machine-based approach with application to oil sand pump prognostics. Sensors 13(9):12663–12686
33.
Zurück zum Zitat Hyndman RJ, Athanasopoulos G (2018) Forecasting: principles and practice OT exts Hyndman RJ, Athanasopoulos G (2018) Forecasting: principles and practice OT exts
34.
Zurück zum Zitat IEC (2018) Failure modes and effect analysis (FMEA and FMECA). Tech. Rep. IEC 60812, The International Electrotechnical Commission, 3, rue de varembė, Case postale 131, CH-1211 Genėve 20 Switzerland IEC (2018) Failure modes and effect analysis (FMEA and FMECA). Tech. Rep. IEC 60812, The International Electrotechnical Commission, 3, rue de varembė, Case postale 131, CH-1211 Genėve 20 Switzerland
35.
Zurück zum Zitat ISO Central Secretary (2012) Condition monitoring and diagnostics of machines – data interpretation and diagnostics techniques – Part 1: General guidelines. Standard ISO 13379-1:2012, International Organization for Standardization, Geneva, CH ISO Central Secretary (2012) Condition monitoring and diagnostics of machines – data interpretation and diagnostics techniques – Part 1: General guidelines. Standard ISO 13379-1:2012, International Organization for Standardization, Geneva, CH
36.
Zurück zum Zitat ISO Central Secretary (2015) Condition monitoring and diagnostics of machines – data interpretation and diagnostics techniques – Part 2: Data-driven applications. Standard ISO 13379-2:2015(E), International Organization for Standardization, Geneva, CH ISO Central Secretary (2015) Condition monitoring and diagnostics of machines – data interpretation and diagnostics techniques – Part 2: Data-driven applications. Standard ISO 13379-2:2015(E), International Organization for Standardization, Geneva, CH
38.
Zurück zum Zitat ISO Central Secretary (2018) Condition monitoring and diagnostics of machines – general guidelines. Standard ISO 17359:2018, International Organization for Standardization, Geneva CH ISO Central Secretary (2018) Condition monitoring and diagnostics of machines – general guidelines. Standard ISO 17359:2018, International Organization for Standardization, Geneva CH
39.
Zurück zum Zitat Iverson DL (2004) Inductive system health monitoring. In: Proceedings of the International Conference on Artificial Intelligence, IC-AI’04, 21-24 June 2004, Las Vegas, United States, pp. 21–24. NASA Ames Research Center; Moffett Field, CA, United States Iverson DL (2004) Inductive system health monitoring. In: Proceedings of the International Conference on Artificial Intelligence, IC-AI’04, 21-24 June 2004, Las Vegas, United States, pp. 21–24. NASA Ames Research Center; Moffett Field, CA, United States
40.
Zurück zum Zitat Jardine AK, Lin D, Banjevic D (2006) A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech Syst Signal Pr 20(7):1483–1510 Jardine AK, Lin D, Banjevic D (2006) A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech Syst Signal Pr 20(7):1483–1510
41.
Zurück zum Zitat Javed K, Gouriveau R, Li X, Zerhouni N (2018) Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model. J Intell Manuf 29(8):1873–1890 Javed K, Gouriveau R, Li X, Zerhouni N (2018) Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model. J Intell Manuf 29(8):1873–1890
43.
Zurück zum Zitat Javed K, Gouriveau R, Zerhouni N, Zemouri R, Li X (2012) Robust, reliable and applicable tool wear monitoring and prognostic: approach based on an improved-extreme learning machine. In: 2012 IEEE Conference on prognostics and health management, pp. 1–9. IEEE Javed K, Gouriveau R, Zerhouni N, Zemouri R, Li X (2012) Robust, reliable and applicable tool wear monitoring and prognostic: approach based on an improved-extreme learning machine. In: 2012 IEEE Conference on prognostics and health management, pp. 1–9. IEEE
44.
Zurück zum Zitat Jeong YH, Cho DW (2002) Estimating cutting force from rotating and stationary feed motor currents on a milling machine. Int J Mach Tools Manuf 42(14):1559–1566 Jeong YH, Cho DW (2002) Estimating cutting force from rotating and stationary feed motor currents on a milling machine. Int J Mach Tools Manuf 42(14):1559–1566
45.
Zurück zum Zitat Jin T, Chen C, Chen L, Tian H, Zhu D, Jia X (2017) Failure mode and effects analysis of cnc machine tools based on spa. In: 2017 2Nd international conference on system reliability and safety (ICSRS), pp. 107–111. IEEE Jin T, Chen C, Chen L, Tian H, Zhu D, Jia X (2017) Failure mode and effects analysis of cnc machine tools based on spa. In: 2017 2Nd international conference on system reliability and safety (ICSRS), pp. 107–111. IEEE
46.
Zurück zum Zitat Jin X, Siegel D, Weiss BA, Gamel E, Wang W, Lee J, Ni J (2016) The present status and future growth of maintenance in us manufacturing: results from a pilot survey. Manufacturing review, 3 Jin X, Siegel D, Weiss BA, Gamel E, Wang W, Lee J, Ni J (2016) The present status and future growth of maintenance in us manufacturing: results from a pilot survey. Manufacturing review, 3
47.
Zurück zum Zitat Kalpakjian S, Schmid S (2013) Manufacturing engineering & technology pearson education Kalpakjian S, Schmid S (2013) Manufacturing engineering & technology pearson education
48.
Zurück zum Zitat Kan Y, Zhu X, Wang L, Xu B, Yang Z, Li H (2015) Comparison between bayesian method and lse in estimating mtbf of nc machine tools. In: 2015 International conference on computer science and mechanical automation (CSMA), pp. 251–257. IEEE Kan Y, Zhu X, Wang L, Xu B, Yang Z, Li H (2015) Comparison between bayesian method and lse in estimating mtbf of nc machine tools. In: 2015 International conference on computer science and mechanical automation (CSMA), pp. 251–257. IEEE
49.
Zurück zum Zitat Kim J, Chang H, Han D, Jang D, Oh S (2005) Cutting force estimation by measuring spindle displacement in milling process. CIRP annals 54(1):67–70 Kim J, Chang H, Han D, Jang D, Oh S (2005) Cutting force estimation by measuring spindle displacement in milling process. CIRP annals 54(1):67–70
50.
Zurück zum Zitat Kuhn M, Johnson K (2013) Applied predictive modeling, vol. 26. Springer, BerlinMATH Kuhn M, Johnson K (2013) Applied predictive modeling, vol. 26. Springer, BerlinMATH
51.
Zurück zum Zitat Kumar S, Pecht M (2010) Modeling approaches for prognostics and health management of electronics. Int J Performability Eng 6(5):467–476 Kumar S, Pecht M (2010) Modeling approaches for prognostics and health management of electronics. Int J Performability Eng 6(5):467–476
52.
Zurück zum Zitat Kurada S, Bradley C (1997) A review of machine vision sensors for tool condition monitoring. Comput Ind 34(1):55–72 Kurada S, Bradley C (1997) A review of machine vision sensors for tool condition monitoring. Comput Ind 34(1):55–72
53.
Zurück zum Zitat Leȧo BP, Yoneyama T, Rocha GC, Fitzgibbon KT (2008) Prognostics performance metrics and their relation to requirements, design, verification and cost-benefit. In: 2008 International conference on Prognostics and health management, PHM 2008. https://doi.org/10.1109/PHM.2008.4711429 Leȧo BP, Yoneyama T, Rocha GC, Fitzgibbon KT (2008) Prognostics performance metrics and their relation to requirements, design, verification and cost-benefit. In: 2008 International conference on Prognostics and health management, PHM 2008. https://​doi.​org/​10.​1109/​PHM.​2008.​4711429
54.
Zurück zum Zitat Lebold M, Thurston M (2001) Open standards for condition-based maintenance and prognostic systems. In: Maintenance and reliability conference (MARCON), vol. 200. May Lebold M, Thurston M (2001) Open standards for condition-based maintenance and prognostic systems. In: Maintenance and reliability conference (MARCON), vol. 200. May
55.
Zurück zum Zitat Lee J, Kao HA, Yang S (2014) Service innovation and smart analytics for industry 4.0 and big data environment. Procedia Cirp 16:3–8 Lee J, Kao HA, Yang S (2014) Service innovation and smart analytics for industry 4.0 and big data environment. Procedia Cirp 16:3–8
56.
Zurück zum Zitat Lee J, Ni J, Djurdjanovic D, Qiu H, Liao H (2006) Intelligent prognostics tools and e-maintenance. Computers in industry 57(6):476–489 Lee J, Ni J, Djurdjanovic D, Qiu H, Liao H (2006) Intelligent prognostics tools and e-maintenance. Computers in industry 57(6):476–489
57.
Zurück zum Zitat Lee J, Wu F, Zhao W, Ghaffari M, Liao L, Siegel D (2014) Prognostics and health management design for rotary machinery systems—reviews, methodology and applications. Mech Syst Signal Pr 42(1-2):314–334 Lee J, Wu F, Zhao W, Ghaffari M, Liao L, Siegel D (2014) Prognostics and health management design for rotary machinery systems—reviews, methodology and applications. Mech Syst Signal Pr 42(1-2):314–334
58.
Zurück zum Zitat Lei Y, Li N, Guo L, Li N, Yan T, Lin J (2018) Machinery health prognostics: a systematic review from data acquisition to rul prediction. Mech Syst Signal Pr 104:799–834 Lei Y, Li N, Guo L, Li N, Yan T, Lin J (2018) Machinery health prognostics: a systematic review from data acquisition to rul prediction. Mech Syst Signal Pr 104:799–834
59.
Zurück zum Zitat Letot C, Serra R, Dossevi M, Dehombreux P (2016) Cutting tools reliability and residual life prediction from degradation indicators in turning process. Int J Adv Manuf Tech 86(1-4):495–506 Letot C, Serra R, Dossevi M, Dehombreux P (2016) Cutting tools reliability and residual life prediction from degradation indicators in turning process. Int J Adv Manuf Tech 86(1-4):495–506
60.
Zurück zum Zitat Li P, Jia X, Feng J, Davari H, Qiao G, Hwang Y, Lee J (2018) Prognosability study of ball screw degradation using systematic methodology. Mech Syst Signal Pr 109:45–57 Li P, Jia X, Feng J, Davari H, Qiao G, Hwang Y, Lee J (2018) Prognosability study of ball screw degradation using systematic methodology. Mech Syst Signal Pr 109:45–57
61.
Zurück zum Zitat Li X, Er M, Lim B, Zhou J, Gan O, Rutkowski L (2010) Fuzzy regression modeling for tool performance prediction and degradation detection. Int J Neural Syst 20(5):405–419 Li X, Er M, Lim B, Zhou J, Gan O, Rutkowski L (2010) Fuzzy regression modeling for tool performance prediction and degradation detection. Int J Neural Syst 20(5):405–419
62.
Zurück zum Zitat Li X, Zhou J, Zeng H, San Wong Y, Hong GS (2006) An intelligent predictive engine for milling machine prognostic monitoring. In: 2006 4Th IEEE international conference on industrial informatics, pp. 1075–1080. IEEE Li X, Zhou J, Zeng H, San Wong Y, Hong GS (2006) An intelligent predictive engine for milling machine prognostic monitoring. In: 2006 4Th IEEE international conference on industrial informatics, pp. 1075–1080. IEEE
63.
Zurück zum Zitat Liao L (2014) Discovering prognostic features using genetic programming in remaining useful life prediction. IEEE Trans Ind Electron 61(5):2464–2472 Liao L (2014) Discovering prognostic features using genetic programming in remaining useful life prediction. IEEE Trans Ind Electron 61(5):2464–2472
64.
Zurück zum Zitat Liao L, Köttig F (2014) Review of hybrid prognostics approaches for remaining useful life prediction of engineered systems, and an application to battery life prediction. IEEE Trans Reliab 63(1):191–207 Liao L, Köttig F (2014) Review of hybrid prognostics approaches for remaining useful life prediction of engineered systems, and an application to battery life prediction. IEEE Trans Reliab 63(1):191–207
65.
Zurück zum Zitat Liao L, Pavel R (2012) Machine tool feed axis health monitoring using plug-and-prognose technology. In: Proc. proceedings of the 2012 conference of the society for machinery failure prevention technology, Dayton, Ohio Liao L, Pavel R (2012) Machine tool feed axis health monitoring using plug-and-prognose technology. In: Proc. proceedings of the 2012 conference of the society for machinery failure prevention technology, Dayton, Ohio
66.
Zurück zum Zitat Liao L, Pavel R (2013) Machinery time to failure prediction-case study and lesson learned for a spindle bearing application. In: Prognostics and health management (PHM), 2013 IEEE conference on, pp. 1–11. IEEE Liao L, Pavel R (2013) Machinery time to failure prediction-case study and lesson learned for a spindle bearing application. In: Prognostics and health management (PHM), 2013 IEEE conference on, pp. 1–11. IEEE
67.
Zurück zum Zitat Liu D, Luo Y, Peng Y, Peng X, Pecht M (2012) Lithium-ion battery remaining useful life estimation based on nonlinear ar model combined with degradation feature. In: Annual conference of the prognostics and health management society, vol. 3, pp. 1803–1836 Liu D, Luo Y, Peng Y, Peng X, Pecht M (2012) Lithium-ion battery remaining useful life estimation based on nonlinear ar model combined with degradation feature. In: Annual conference of the prognostics and health management society, vol. 3, pp. 1803–1836
68.
Zurück zum Zitat Liu R, Yang B, Zio E, Chen X (2018) Artificial intelligence for fault diagnosis of rotating machinery: a review. Mech Syst Signal Pr 108:33–47 Liu R, Yang B, Zio E, Chen X (2018) Artificial intelligence for fault diagnosis of rotating machinery: a review. Mech Syst Signal Pr 108:33–47
69.
Zurück zum Zitat Luo J, Namburu M, Pattipati K, Qiao L, Kawamoto M, Chigusa S (2003) Model-based prognostic techniques. In: Proceedings of the IEEE AUTOTESTCON, pp. 330–340 Luo J, Namburu M, Pattipati K, Qiao L, Kawamoto M, Chigusa S (2003) Model-based prognostic techniques. In: Proceedings of the IEEE AUTOTESTCON, pp. 330–340
71.
Zurück zum Zitat Montgomery DC, Runger GC (2010) Applied statistics and probability for engineers. Wiley, New YorkMATH Montgomery DC, Runger GC (2010) Applied statistics and probability for engineers. Wiley, New YorkMATH
73.
Zurück zum Zitat Nystad BH, Gola G, Hulsund JE (2012) Lifetime models for remaining useful life estimation with randomly distributed failure thresholds. In: Proceedings of first european conference of the Prognostics and health management society, pp 141–147 Nystad BH, Gola G, Hulsund JE (2012) Lifetime models for remaining useful life estimation with randomly distributed failure thresholds. In: Proceedings of first european conference of the Prognostics and health management society, pp 141–147
74.
Zurück zum Zitat de Oliveira Bizarria C, Yoneyama T (2009) Prognostics and health monitoring for an electro-hydraulic flight control actuator. In: 2009 IEEE Aerospace conference, pp. 1–9. IEEE de Oliveira Bizarria C, Yoneyama T (2009) Prognostics and health monitoring for an electro-hydraulic flight control actuator. In: 2009 IEEE Aerospace conference, pp. 1–9. IEEE
75.
Zurück zum Zitat Oraby S, Hayhurst D (2004) Tool life determination based on the measurement of wear and tool force ratio variation. Int J Mach Tools Manuf 44(12-13):1261–1269 Oraby S, Hayhurst D (2004) Tool life determination based on the measurement of wear and tool force ratio variation. Int J Mach Tools Manuf 44(12-13):1261–1269
76.
Zurück zum Zitat Orchard M, Kacprzynski G, Goebel K, Saha B, Vachtsevanos G (2008) Advances in uncertainty representation and management for particle filtering applied to prognostics. In: 2008 International conference on Prognostics and health management, PHM 2008. https://doi.org/10.1109/PHM.2008.4711433 Orchard M, Kacprzynski G, Goebel K, Saha B, Vachtsevanos G (2008) Advances in uncertainty representation and management for particle filtering applied to prognostics. In: 2008 International conference on Prognostics and health management, PHM 2008. https://​doi.​org/​10.​1109/​PHM.​2008.​4711433
77.
Zurück zum Zitat Park SS, Altintas Y (2004) Dynamic compensation of spindle integrated force sensors with kalman filter. J Dyn Syst Measurement Contrl 126(3):443–452 Park SS, Altintas Y (2004) Dynamic compensation of spindle integrated force sensors with kalman filter. J Dyn Syst Measurement Contrl 126(3):443–452
78.
Zurück zum Zitat Patil RB, Kothavale BS, Waghmode LY (2019) Selection of time-to-failure model for computerized numerical control turning center based on the assessment of trends in maintenance data. Proceedings of the institution of mechanical engineers, part o: journal of risk and reliability 233(2):105–117 Patil RB, Kothavale BS, Waghmode LY (2019) Selection of time-to-failure model for computerized numerical control turning center based on the assessment of trends in maintenance data. Proceedings of the institution of mechanical engineers, part o: journal of risk and reliability 233(2):105–117
79.
Zurück zum Zitat Peng Y, Dong M, Zuo MJ (2010) Current status of machine prognostics in condition-based maintenance: a review. Int J Adv Manuf Tech 50(1-4):297–313 Peng Y, Dong M, Zuo MJ (2010) Current status of machine prognostics in condition-based maintenance: a review. Int J Adv Manuf Tech 50(1-4):297–313
80.
Zurück zum Zitat Pršiċ D, Nediċ N, Stojanoviċ V (2017) A nature inspired optimal control of pneumatic-driven parallel robot platform. Proceedings of the institution of mechanical engineers, part c: journal of mechanical engineering science 231(1):59–71. https://doi.org/10.1177/0954406216662367 Pršiċ D, Nediċ N, Stojanoviċ V (2017) A nature inspired optimal control of pneumatic-driven parallel robot platform. Proceedings of the institution of mechanical engineers, part c: journal of mechanical engineering science 231(1):59–71. https://​doi.​org/​10.​1177/​0954406216662367​
81.
Zurück zum Zitat Qiu J, Seth BB, Liang SY, Zhang C (2002) Damage mechanics approach for bearing lifetime prognostics. Mech Syst Signal Processing 16(5):817–829 Qiu J, Seth BB, Liang SY, Zhang C (2002) Damage mechanics approach for bearing lifetime prognostics. Mech Syst Signal Processing 16(5):817–829
82.
Zurück zum Zitat Rabah B, Benkedjouh T, Said R (2019) Tool wear condition monitoring based on blind source separation and wavelet transform. Lecture Notes in Electrical Engineering 522:377–389 Rabah B, Benkedjouh T, Said R (2019) Tool wear condition monitoring based on blind source separation and wavelet transform. Lecture Notes in Electrical Engineering 522:377–389
85.
Zurück zum Zitat Sankararaman S, Goebel K (2015) Uncertainty in Prognostics and health management: an overview. European conference of the prognostics and health management society, pp. 1–11 Sankararaman S, Goebel K (2015) Uncertainty in Prognostics and health management: an overview. European conference of the prognostics and health management society, pp. 1–11
86.
Zurück zum Zitat Sardana D, Bhatnagar R, Pavel R, Iverson J (2015) Data driven predictive analytics for a spindle. In: 2015 IEEE International conference on big data (big data), pp. 1378–1387. IEEE Sardana D, Bhatnagar R, Pavel R, Iverson J (2015) Data driven predictive analytics for a spindle. In: 2015 IEEE International conference on big data (big data), pp. 1378–1387. IEEE
89.
Zurück zum Zitat Saxena A, Celaya J, Saha B, Saha S, Goebel K (2010) Metrics for offline evaluation of prognostic performance. Int J Prognostics Health Management 1(1):1–20 Saxena A, Celaya J, Saha B, Saha S, Goebel K (2010) Metrics for offline evaluation of prognostic performance. Int J Prognostics Health Management 1(1):1–20
90.
Zurück zum Zitat van Schrick D (1997) Remarks on terminology in the field of supervision, fault detection and diagnosis. IFAC Proceedings 30(18):959–964 van Schrick D (1997) Remarks on terminology in the field of supervision, fault detection and diagnosis. IFAC Proceedings 30(18):959–964
91.
Zurück zum Zitat Shao Y, Nezu K (2000) Prognosis of remaining bearing life using neural networks. Proceedings of the institution of mechanical engineers Part I-journal of systems and control engineering - PROC INST MECH ENG I-J SYST C 214:217–230 Shao Y, Nezu K (2000) Prognosis of remaining bearing life using neural networks. Proceedings of the institution of mechanical engineers Part I-journal of systems and control engineering - PROC INST MECH ENG I-J SYST C 214:217–230
92.
Zurück zum Zitat Shi D, Gindy NN (2007) Tool wear predictive model based on least squares support vector machines. Mech Syst Signal Process 21(4):1799–1814 Shi D, Gindy NN (2007) Tool wear predictive model based on least squares support vector machines. Mech Syst Signal Process 21(4):1799–1814
93.
Zurück zum Zitat Si XS, Wang W, Hu CH, Zhou DH (2011) Remaining useful life estimation–a review on the statistical data driven approaches. European journal of operational research 213(1):1–14MathSciNet Si XS, Wang W, Hu CH, Zhou DH (2011) Remaining useful life estimation–a review on the statistical data driven approaches. European journal of operational research 213(1):1–14MathSciNet
94.
Zurück zum Zitat Soylemezoglu A, Jagannathan S, Saygin C (2010) Mahalanobis taguchi system (mts) as a prognostics tool for rolling element bearing failures. Journal of Manufacturing Science and Engineering 132(5):051014 Soylemezoglu A, Jagannathan S, Saygin C (2010) Mahalanobis taguchi system (mts) as a prognostics tool for rolling element bearing failures. Journal of Manufacturing Science and Engineering 132(5):051014
95.
Zurück zum Zitat Soylemezoglu A, Jagannathan S, Saygin C (2011) Mahalanobis-taguchi system as a multi-sensor based decision making prognostics tool for centrifugal pump failures. IEEE Trans Reliab 60(4):864–878 Soylemezoglu A, Jagannathan S, Saygin C (2011) Mahalanobis-taguchi system as a multi-sensor based decision making prognostics tool for centrifugal pump failures. IEEE Trans Reliab 60(4):864–878
96.
Zurück zum Zitat Spendla L, Kebisek M, Tanuska P, Hrcka L (2017) Concept of predictive maintenance of production systems in accordance with industry 4.0. In: 2017 IEEE 15Th International symposium on applied machine intelligence and informatics (SAMI), pp. 000405–000410. IEEE Spendla L, Kebisek M, Tanuska P, Hrcka L (2017) Concept of predictive maintenance of production systems in accordance with industry 4.0. In: 2017 IEEE 15Th International symposium on applied machine intelligence and informatics (SAMI), pp. 000405–000410. IEEE
97.
Zurück zum Zitat Stavropoulos P, Papacharalampopoulos A, Vasiliadis E, Chryssolouris G (2016) Tool wear predictability estimation in milling based on multi-sensorial data. Int J Adv Manuf Tech 82(1-4):509–521 Stavropoulos P, Papacharalampopoulos A, Vasiliadis E, Chryssolouris G (2016) Tool wear predictability estimation in milling based on multi-sensorial data. Int J Adv Manuf Tech 82(1-4):509–521
98.
Zurück zum Zitat Stojanovic V, Nedic N (2016) Joint state and parameter robust estimation of stochastic nonlinear systems. International Journal of Robust and Nonlinear Control 26:3058–3074MathSciNetMATH Stojanovic V, Nedic N (2016) Joint state and parameter robust estimation of stochastic nonlinear systems. International Journal of Robust and Nonlinear Control 26:3058–3074MathSciNetMATH
100.
Zurück zum Zitat Sun B, Zeng S, Kang R, Pecht M (2010) Benefits analysis of prognostics in systems. In: 2010 Prognostics and system health management conference, pp. 1–8. IEEE Sun B, Zeng S, Kang R, Pecht M (2010) Benefits analysis of prognostics in systems. In: 2010 Prognostics and system health management conference, pp. 1–8. IEEE
101.
Zurück zum Zitat Sun J, Li H, Xu B (2016) Prognostic for hydraulic pump based upon dct-composite spectrum and the modified echo state network. SpringerPlus 5(1):1293 Sun J, Li H, Xu B (2016) Prognostic for hydraulic pump based upon dct-composite spectrum and the modified echo state network. SpringerPlus 5(1):1293
102.
Zurück zum Zitat Swearingen K, Majkowski W, Bruggeman B, Gilbertson D, Dunsdon J, Sykes B (2007) An open system architecture for condition based maintenance overview. In: Aerospace conference, 2007 IEEE, pp. 1–8. IEEE Swearingen K, Majkowski W, Bruggeman B, Gilbertson D, Dunsdon J, Sykes B (2007) An open system architecture for condition based maintenance overview. In: Aerospace conference, 2007 IEEE, pp. 1–8. IEEE
104.
Zurück zum Zitat Thurston MG (2001) An open standard for web-based condition-based maintenance systems. In: AUTOTESTCON Proceedings, 2001. IEEE systems readiness technology conference, pp. 401–415. IEEE Thurston MG (2001) An open standard for web-based condition-based maintenance systems. In: AUTOTESTCON Proceedings, 2001. IEEE systems readiness technology conference, pp. 401–415. IEEE
105.
Zurück zum Zitat Tobon-Mejia D, Medjaher K, Zerhouni N (2012) Cnc machine tools wear diagnostic and prognostic by using dynamic bayesian networks. Mech Syst Signal Process 28:167–182 Tobon-Mejia D, Medjaher K, Zerhouni N (2012) Cnc machine tools wear diagnostic and prognostic by using dynamic bayesian networks. Mech Syst Signal Process 28:167–182
106.
Zurück zum Zitat Tobon-Mejia DA, Medjaher K, Zerhouni N (2010) The iso 13381-1 standard’s failure prognostics process through an example. In: Prognostics and health management conference, 2010. PHM’10., pp. 1–12. IEEE Tobon-Mejia DA, Medjaher K, Zerhouni N (2010) The iso 13381-1 standard’s failure prognostics process through an example. In: Prognostics and health management conference, 2010. PHM’10., pp. 1–12. IEEE
109.
Zurück zum Zitat Vogl GW, Weiss BA, Helu M (2019) A review of diagnostic and prognostic capabilities and best practices for manufacturing. J Intell Manuf 30(1):79–95 Vogl GW, Weiss BA, Helu M (2019) A review of diagnostic and prognostic capabilities and best practices for manufacturing. J Intell Manuf 30(1):79–95
110.
Zurück zum Zitat Wakiru JM, Pintelon L, Muchiri PN, Chemweno PK (2019) A review on lubricant condition monitoring information analysis for maintenance decision support. Mech Syst Signal Process 118:108–132 Wakiru JM, Pintelon L, Muchiri PN, Chemweno PK (2019) A review on lubricant condition monitoring information analysis for maintenance decision support. Mech Syst Signal Process 118:108–132
113.
Zurück zum Zitat Wang D, Peter WT (2015) Prognostics of slurry pumps based on a moving-average wear degradation index and a general sequential monte carlo method. Mech Syst Signal Process 56:213–229 Wang D, Peter WT (2015) Prognostics of slurry pumps based on a moving-average wear degradation index and a general sequential monte carlo method. Mech Syst Signal Process 56:213–229
114.
Zurück zum Zitat Wang M, Wang J (2012) Chmm for tool condition monitoring and remaining useful life prediction. Int J Adv Manuf Technol 59(5-8):463–471 Wang M, Wang J (2012) Chmm for tool condition monitoring and remaining useful life prediction. Int J Adv Manuf Technol 59(5-8):463–471
115.
Zurück zum Zitat Wen J, Gao H (2018) Remaining useful life prediction of the ball screw system based on weighted mahalanobis distance and an exponential model. Journal of Vibroengineering 20(4) Wen J, Gao H (2018) Remaining useful life prediction of the ball screw system based on weighted mahalanobis distance and an exponential model. Journal of Vibroengineering 20(4)
116.
Zurück zum Zitat Wheeler KR, Kurtoglu T, Poll SD (2010) A survey of health management user objectives in aerospace systems related to diagnostic and prognostic metrics. International Journal of Prognostics and Health Management 1(1):1–19 Wheeler KR, Kurtoglu T, Poll SD (2010) A survey of health management user objectives in aerospace systems related to diagnostic and prognostic metrics. International Journal of Prognostics and Health Management 1(1):1–19
117.
Zurück zum Zitat Wu Y, Hong G, Wong W (2014) Prognosis of the probability of failure in tool condition monitoring application-a time series based approach. Int J Adv Manuf Technol 76(1-4):513– 521 Wu Y, Hong G, Wong W (2014) Prognosis of the probability of failure in tool condition monitoring application-a time series based approach. Int J Adv Manuf Technol 76(1-4):513– 521
118.
Zurück zum Zitat Xu X (2017) Machine tool 4.0 for the new era of manufacturing. Int J Adv Manuf Tech 92(5-8):1893–1900 Xu X (2017) Machine tool 4.0 for the new era of manufacturing. Int J Adv Manuf Tech 92(5-8):1893–1900
119.
Zurück zum Zitat Yan J, Meng Y, Lu L, Li L (2017) Industrial big data in an industry 4.0 environment: challenges, schemes, and applications for predictive maintenance. IEEE Access 5:23484– 23491 Yan J, Meng Y, Lu L, Li L (2017) Industrial big data in an industry 4.0 environment: challenges, schemes, and applications for predictive maintenance. IEEE Access 5:23484– 23491
120.
Zurück zum Zitat Yang Z, Chen CH, Chen F, Hao Q, Xu B (2013) Reliability analysis of machining center based on the field data. Eksploatacja i Niezawodność 15(2):147–155 Yang Z, Chen CH, Chen F, Hao Q, Xu B (2013) Reliability analysis of machining center based on the field data. Eksploatacja i Niezawodność 15(2):147–155
121.
Zurück zum Zitat Yang Z, Kan Y, Chen F, Xu B, Chen C, Yang C (2015) Bayesian reliability modeling and assessment solution for nc machine tools under small-sample data. Chinese Journal of Mechanical Engineering 28 (6):1229–1239 Yang Z, Kan Y, Chen F, Xu B, Chen C, Yang C (2015) Bayesian reliability modeling and assessment solution for nc machine tools under small-sample data. Chinese Journal of Mechanical Engineering 28 (6):1229–1239
122.
Zurück zum Zitat Yang Z, Li X, Chen C, Zhao H, Yang D, Guo J, Luo W (2019) Reliability assessment of the spindle systems with a competing risk model. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 233(2):226–234 Yang Z, Li X, Chen C, Zhao H, Yang D, Guo J, Luo W (2019) Reliability assessment of the spindle systems with a competing risk model. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 233(2):226–234
123.
Zurück zum Zitat Yang Z, Zhu D, Chen C, Tian H, Guo J, Li S (2018) Reliability modelling of cnc machine tools based on the improved maximum likelihood estimation method. Mathematical Problems in Engineering, 2018 Yang Z, Zhu D, Chen C, Tian H, Guo J, Li S (2018) Reliability modelling of cnc machine tools based on the improved maximum likelihood estimation method. Mathematical Problems in Engineering, 2018
124.
Zurück zum Zitat Yu J, Liang S, Tang D, Liu H (2017) A weighted hidden markov model approach for continuous-state tool wear monitoring and tool life prediction. Int J Adv Manuf Technol 91(1-4): 201–211 Yu J, Liang S, Tang D, Liu H (2017) A weighted hidden markov model approach for continuous-state tool wear monitoring and tool life prediction. Int J Adv Manuf Technol 91(1-4): 201–211
125.
Zurück zum Zitat Zhang C, Yao X, Zhang J, Jin H (2016) Tool condition monitoring and remaining useful life prognostic based on a wireless sensor in dry milling operations. Sensors 16(6):795 Zhang C, Yao X, Zhang J, Jin H (2016) Tool condition monitoring and remaining useful life prognostic based on a wireless sensor in dry milling operations. Sensors 16(6):795
126.
Zurück zum Zitat Zhang X, Gao H, Huang H (2015) Screw performance degradation assessment based on quantum genetic algorithm and dynamic fuzzy neural network. Shock and vibration, 2015 Zhang X, Gao H, Huang H (2015) Screw performance degradation assessment based on quantum genetic algorithm and dynamic fuzzy neural network. Shock and vibration, 2015
127.
Zurück zum Zitat Zhao R, Yan R, Chen Z, Mao K, Wang P, Gao R (2019) Deep learning and its applications to machine health monitoring. Mech Syst Signal Process 115:213–237 Zhao R, Yan R, Chen Z, Mao K, Wang P, Gao R (2019) Deep learning and its applications to machine health monitoring. Mech Syst Signal Process 115:213–237
128.
Zurück zum Zitat Zhu J, Yoon JM, He D, Qu Y, Bechhoefer E (2013) Lubrication oil condition monitoring and remaining useful life prediction with particle filtering. International Journal of Prognostics and Health Management 4:124–138 Zhu J, Yoon JM, He D, Qu Y, Bechhoefer E (2013) Lubrication oil condition monitoring and remaining useful life prediction with particle filtering. International Journal of Prognostics and Health Management 4:124–138
Metadaten
Titel
A review of prognostics and health management of machine tools
verfasst von
Marco Baur
Paolo Albertelli
Michele Monno
Publikationsdatum
28.03.2020
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 5-6/2020
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-020-05202-3

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