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Arabian Journal for Science and Engineering

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29.07.2022 | Research Article-Mechanical Engineering

Damage Factor Calculation for Condition Monitoring of Rolling Bearings

verfasst von: Ivana D. Atanasovska, Natasa D. Soldat, Santosh S. Patil, Radivoje M. Mitrovic, Radoslav Z. Tomovic

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 3/2023

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Abstract

New demands placed on industry make it necessary to improve design, real-time monitoring and failure prediction methods for rolling bearings. This paper presents an approach for assessing how contact surface damage affects the vibration response of rolling bearings and how vibration-based monitoring shows the damage level of rolling element bearings. A new parameter named the damage factor is introduced to quantify the vibration response of rolling bearings. The analytical–numerical method for calculation of this parameter is developed based on nonlinear dynamics postulates. The developed method for damage factor calculation is tested on a particular type of radial deep groove ball bearing, and an experimental verification is performed, showing a maximum deviation of 7% in the results. The conclusions drawn from the obtained results and the potential contributions of the introduced parameters for rolling bearing design are discussed. The chosen polynomial function keeps deviations in relation to the calculated damage factor within 3% for failed areas of different sizes.

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Kamble, S.S.; Gunasekaran, A.; Gawankar, S.A.: Sustainable Industry 4.0 framework: a systematic literature review identifying the current trends and future perspectives. Process Saf. Environ. Prot. 117, 408–425 (2018). https://doi.org/10.1016/j.psep.2018.05.009CrossRef

Vaidya, S.; Ambad, P.; Bhosle, S.: Industry 4.0—a glimpse. Proc. Manuf. 20, 233–238 (2018). https://doi.org/10.1016/j.promfg.2018.02.034CrossRef

Hamrol, A.; Gawlik, J.; Sładek, J.: Mechanical engineering in Industry 4.0. Manag. Prod. Eng. Rev. 10(3), 14–28 (2019). https://doi.org/10.24425/mper.2019.129595CrossRef

Mitrovic, R., Atanasovska, I., Soldat, N., Miskovic, Z.: New Trends in Machine Design within Industry 4.0 Framework. AMP 2020, LNME, pp. 227–238 (2020). Doi: https://doi.org/10.1007/978-3-030-46212-3_16

Toh, G.; Park, J.: Review of Vibration-Based Structural Health Monitoring Using Deep Learning. Appl. Sci. 10, 1680 (2020). https://doi.org/10.3390/app10051680CrossRef

de Azevedo, H.D.M., et al.: "Vibration monitoring, fault detection, and bearings replacement of a real wind turbine. J Braz Soc. Mech. Sci. Eng. 39, 3837–3848 (2017). https://doi.org/10.1007/s40430-017-0853-2CrossRef

Bo Luo, B.; Wang, H.; Liu, H.; Li, B.; Peng, F.: Early fault detection of machine tools based on deep learning and dynamic identification. IEEE Trans. Industr. Electron. 15,(2018). https://doi.org/10.1109/TIE.2018.2807414

Machado, C., et al.: Diagnosis of faults in the bearings by electrical measures and numerical simulations. Mech. Ind. 15, 383–391 (2014). https://doi.org/10.1051/meca/2014053CrossRef

Fang, B.; Zhang, J.; Wan, S.; Hong, J.: Determination of optimum preload considering the skidding and termal characteristic of high-speed angular contact ball bearing. ASME J Mech Design 140, 053301–053311 (2018). https://doi.org/10.1115/1.4039386CrossRef

10.

Fang, B.; Wan, S.; Zhang, J.; Hong, J.: Research on the influence of clearance variation on the stiffness fluctuation of ball bearing under different operating conditions. ASME J Mech Design 10(1115/1), 4047903 (2020)

11.

Fingerle, A.; Hochrein, J.; Otto, M.; Stahl, K.: Theoretical study on the influence of planet gear rim thickness and bearing clearance on calculated bearing life. ASME J Mech Design 142, 031102–031111 (2020). https://doi.org/10.1115/1.4045244CrossRef

12.

Harris, T.A., Kotzalas, M.N., 2007, "Rolling Bearing Analysis", Taylor&Franciz Group, SAD, ISBN 9781482275148

13.

Tandon, N.; Choudhury, A.: A review of vibration and acoustic measurementmethods for the detection of defects in rolling element bearings. Tribol. Int. 32, 469–480 (1999). https://doi.org/10.1016/S0301-679X(99)00077-8CrossRef

14.

Tandon, N.; Choudhury, A.: An analytical model for the prediction of the vibration response of rolling element bearings due to a localized defect. J. Sound Vib. 205(3), 275–292 (1997). https://doi.org/10.1006/jsvi.1997.1031CrossRef

15.

Sopanen, J., Mikola, A.: Dynamic model of a deep-groove ball bearing including localized and distributed defects—part1: theory. In: Proceedings of the institution of mechanical engineers K—journal of multi-body dynamics, 217, pp. 201–211 (2003). Doi: https://doi.org/10.1243/14644190360713551

16.

Petersen, D.; Howard, C.; Sawalhi, N.; Ahmadi, A.M.; Singh, S.: Analysis of bearing stiffness variations, contact forces and vibrations in radially loaded double row rolling element bearings with raceway defects. Mech. Syst. Signal Process. 50–51, 139–160 (2015). https://doi.org/10.1016/j.ymssp.2014.04.014CrossRef

17.

Petersen, D.; Howard, C.; Prime, Z.: Varying stiffness and load distributions in defective ball bearings: analytical formulation and application to defect size estimation. J. Sound Vib. 337, 284–300 (2015). https://doi.org/10.1016/j.jsv.2014.10.004CrossRef

18.

Malhi, A.C.: Finite element modeling of vibrations caused by a defect in the outer ring of a ball bearing. Project Rep. Finite Element Method Appl. MIE 605, 2002 (2002)

19.

Kulkarni, S., Wadkar, S.B.: Experimental investigation for distributed defects in ball bearing using vibration signature analysis. In: 12th International Confer9ence on Vibration Problems, ICOVP 2015,Procedia Engineering, 144, pp. 781–789 (2016). Doi: https://doi.org/10.1016/j.proeng.2016.05.086

20.

Leturiondo, U.; Salgado, O.; Galar, D.: Validation of a physics-based model for rolling element bearings with diagnosis purposes. In: 8th European Workshop on Structural Health Monitoring (EWSHM 2016). Spain. 5–8 July 2016. (2016)

21.

Leturiondo, U., Salgado, O., Galar D.: Multi-body modelling of rolling element bearings and performance evaluation with localised damage. In: Eksploatacja i Niezawodnosc—Maintenance and Reliability, 18(4), 638–648 (2016). Doi: https://doi.org/10.17531/ein.2016.4.20

22.

Shaikh, C.; Kulkarni, C.: A theoretical model for predicting the vibration response of outer race defective ball bearing. Int. J. Eng. Technol. 7(2), 289–295 (2018). https://doi.org/10.14419/ijet.v7i2.8953CrossRef

23.

Delprete, C.; Brusa, E.; Rosso, C.; Bruzzone, F.: Bearing health monitoring based on the orthogonal empirical mode decomposition. Shock Vib. 8761278 (2020). https://doi.org/10.1155/2020/8761278

24.

Ye, L.; Xia, X.; Chang, Z.: Dynamic prediction of the performance reliability of high-speed railway bearings. J. Braz. Soc. Mech. Sci. Eng. 41, 532 (2019). https://doi.org/10.1007/s40430-019-2041-zCrossRef

25.

Tingarikar, G.; Choudhury, A.: Vibration analysis-based fault diagnosis of a dynamically loaded bearing with distributed defect. Arab. J. Sci. Eng. (2021). https://doi.org/10.1007/s13369-021-05862-7CrossRef

26.

Boumahdi, M.; Rechak, S.; Hanini, S.: Analysis and prediction of defect size and remaining useful life of thrust ball bearings: modelling and experiment procedures. Arab. J. Sci. Eng. 42, 4535–4546 (2017). https://doi.org/10.1007/s13369-017-2550-yCrossRef

27.

Pinedo-Sanchez, L.A.; Mercado-Ravell, D.A.; Carballo-Monsivais, C.A.: Vibration analysis in bearings for failure prevention using CNN. J. Braz. Soc. Mech. Sci. Eng. 42, 628 (2020). https://doi.org/10.1007/s40430-020-02711-wCrossRef

28.

Soldat, N.; Mitrovic, R.; Atanasovska, I.; Tomovic, R.: A methodology for analyzing radial ball bearing vibrations. Transactions of FAMENA 44(1), 13–28 (2020). https://doi.org/10.21278/TOF.44102CrossRef

29.

Patel, V.N.; Tandon, N.; Pandey, R.K.: experimental study for vibration behaviors of locally defective deep groove ball bearings under dynamic radial load. Adv. Acoust. Vib. Article ID 271346 (2014). https://doi.org/10.1155/2014/271346

30.

Kumbhar, S.G.; Desavale, R.G.; Shinde, A.A.: Theoretical and experimental studies on vibrations produced by defects in taper roller bearing using vibration signature analysis. Int J. Eng. Res. Technol. JERT 3(5), 1270–1283 (2014)

31.

Kulkarni, P.G.; Sahasrabudhe, A.D.: A dynamic model of ball bearing for simulating localized defects on outer race using cubic hermite spline. J. Mech. Sci. Technol. 28(9), 3433–3442 (2014). https://doi.org/10.1007/s12206-014-0804-0CrossRef

32.

Ding, W., Zhang, Z., and Zhao, F.,: Vibration response of ball bearings with different defect sizes in the outer raceway: Simulation with a 3-D finite element model. In: The 14th IFToMM World Congress, Taipei, Taiwan, October 25–30, (2015). Doi: https://doi.org/10.6567/IFToMM.14TH.WC.OS14.005

33.

Kulkarni, S.; Bewoor, A.: Analysis of distributed defect on outer ring of ball bearing under radial load: a theoretical and experimental approach. J. Eng. Sci. Technol. 13(11), 3764–3780 (2018)

34.

Atanasovska, I., Mitrovic, R., Soldat, N, and Momcilovic, D.: Finite element model for stress state analysis of deep groove ball bearing with defects. In: Proceedings of the 5rd International Scientific Conference “Conference on Mechanical Engineering Technologies and Applications”—COMETA920202020, November 26–28, 2020, East Sarajevo, ISBN 978–99976–719–8–1, pp. 285–292 (2020)

35.

Atanasovska, I.: Multi-body contact in non-linear dynamics of real mechanical systems. Proc. Eng. 199, 510–515 (2017). https://doi.org/10.1016/j.proeng.2017.09.139CrossRef

36.

Atanasovska, I., Momcilovic, D., Mitrovic, R., Soldat, N., and Nesic, N.: Nonlinear dynamics as a tool in selection of working conditions for radial ball bearing. In: IUTAM Bookseries 37 - IUTAM Symposium on Exploiting Nonlinear Dynamics for Engineering Systems, pp.49–58 (2020). Doi: https://doi.org/10.1007/978-3-030-23692-2_5

37.

Demirhan, N.; Kanber, B.: Stress and displacement distributions on cylindrical roller bearing rings using FEM. Mech. Based Des. Struct. Mach. 36, 86–102 (2008). https://doi.org/10.1080/15397730701842537CrossRef

38.

Ashtekar, A.; Sadeghi, F.; Stacke, L.-E.: a new approach to modeling surface defects in bearing dynamics simulations. ASME J Tribol 130, 041103–041111 (2008). https://doi.org/10.1115/1.2959106CrossRef

39.

Niu, L.: A simulation study on the effects of race surface waviness on cage dynamics in high-speed ball bearings. ASME J Tribol 141, 051101–051111 (2019). https://doi.org/10.1115/1.4042656CrossRef

40.

Atanasovska, I.: The mathematical phenomenological mapping in nonlinear dynamics of spur gear pair and radial ball bearing due to the variable stiffness. Int. J. Non-Linear Mech. 73, 114–120 (2015). https://doi.org/10.1016/j.ijnonlinmec.2014.11.015CrossRef

41.

Atanasovska, I., Mitrovic, R. Soldat, N.: Influence of load distribution in ball bearings with defects on the dynamic behavior of gear transmissions systems. In: International Conference on GEARS 2015, Garching (near Munich), Germany, pp. 1065–1068 (2015)

42.

Cheng, H., et al.: Research on the effect of structural and material parameters on vibrations based on quasi-static model of bearings. J. Braz. Soc. Mech. Sci. Eng. 42, 578 (2020). https://doi.org/10.1007/s40430-020-02659-xCrossRef

43.

Boveta, C.; Zamponi, L.: An approach for predicting the internal behaviour of ball bearings under high moment load. Mech. Mach. Theory 101, 1–22 (2016). https://doi.org/10.1016/j.mechmachtheory.2016.03.002CrossRef

44.

Cveticanin, L.: Ninety years of Duffings equation. Theoretical and applied mechanics, Series: Special Issue - Address to Mechanics 40(S1), 49–63 (2012). https://doi.org/10.2298/TAM12S149C

45.

Kovacic, I., and Gatti, G.: Helmholtz, Duffing and Helmholtz-Duffing oscillators: exact steady-state solutions. In: IUTAM Bookseries 37—IUTAM Symposium on Exploiting Nonlinear Dynamics for Engineering Systems, pp.167–177 (2020). Doi: https://doi.org/10.1007/978-3-030-23692-2_15

46.

Patel, V.N.; Tandon, N.; Pandey, R.K.: Defect detection in deep groove ball bearing in presence of external vibration using envelope analysis and Duffing oscillator. Measurement 45, 960–970 (2012). https://doi.org/10.1016/j.measurement.2012.01.047CrossRef

Titel: Damage Factor Calculation for Condition Monitoring of Rolling Bearings
verfasst von: Ivana D. Atanasovska
Natasa D. Soldat
Santosh S. Patil
Radivoje M. Mitrovic
Radoslav Z. Tomovic
Publikationsdatum: 29.07.2022
Verlag: Springer Berlin Heidelberg
Erschienen in: Arabian Journal for Science and Engineering / Ausgabe 3/2023
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI: https://doi.org/10.1007/s13369-022-07126-4

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