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Electrical Engineering

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23-08-2016 | Original Paper

Analysis of statistical features based on start-up current envelope for broken rotor bar fault detection in line start permanent magnet synchronous motor

Authors: Mohammad Rezazadeh Mehrjou, Norman Mariun, Norhisam Misron, Mohd Amran Mohd Radzi

Published in: Electrical Engineering | Issue 1/2017

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Abstract

Line start-permanent magnet synchronous motor (LS-PMSM) is one of the modern high efficiency motor introduced to the industry, recently. Like other types of electrical machines, various failures may happen in LS-PMSM during its life time. Among different failures which may occur in the motors with squirrel cage rotor, rotor fault (broken rotor bar) is the most significant one. This paper investigates defect diagnosis of LS-PMSM, based on statistical analysis of the signals acquired from motor in time domain to find the performance feature for rotor faults detection. To extract the features related to broken rotor bar, a time domain analysis was applied to the transient current signal envelope. In this regards, thirteen statistical parameters were calculated and their reliability were compared for broken rotor bar detection. ANOVA analysis was used to complete the information obtained from those parameters adjusted based on motor condition; starting load condition and their interaction. To perform a statistical comparison among the means for the selected features at different conditions, Tukey’s honest significant differences method was applied as post hoc testing procedure.

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IEC 60034-30-1 (2014) Rotating electrical machines—Part 30-1: efficiency classes of line operated AC motors

Isfahani AH, Vaez-Zadeh S (2009) Line start permanent magnet synchronous motors: challenges and opportunities. Energy 34:1755–1763CrossRef

And BAH, Souckup GC (1992) Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motors. IEEE Trans Ind Appl 25(4):921–937

Mehrjou MR, Mariun N, Hamirucemarhaban M, Misron N (2011) Rotor fault condition monitoring techniques for Squirrel-Cage induction machine-a review. Mech Syst Signal Process 25(80):2827–2848CrossRef

And THA, Kliman GB (2004) Handbook of electric motors, 2nd edn. CRC Press, Boca Raton

Pyrhönen J, Jokinen T, Hrabovcova V (2008) Design of rotating electrical machines, 1st edn. Wiley Online Library, New YorkCrossRef

Lee SB, Hyun D, Kang TJ, Yang C, Shin S, Kim H et al (2015) Identification of false rotor fault indications produced by on-line MCSA for medium voltage induction machines. In: Proceedings of the 2015 61st IEEE pulp and paper industry conference (PPIC 2015), 14–18 June 2015. IEEE, Milwaukee, Wisconsin

Ilonen J, Kamarainen JK, Lindh T, Ahola J, Kälviäinen H, Partanen J (2005) Diagnosis tool for motor condition monitoring. IEEE Trans Ind Appl 41(4):963–971CrossRef

And FR, Ferkolj S (2001) Application of finite element method to predict damaged induction motor performance. IEEE Trans Magn 37(5):3635–3639CrossRef

10.

Bellini A, Filippetti F, Tassoni C, Capolino GA (2008) Advances in diagnostic techniques for induction machines. IEEE Trans Ind Electron 55(12):4109–4126CrossRef

11.

Finley WR, Hodowanec MM, Holter WG (2000) Analytical approach to solving motor vibration problems. IEEE Trans Ind Appl 36(5):1467–1480CrossRef

12.

Zhang P, Du Y, Habetler TG, Lu B (2011) A survey of condition monitoring and protection methods for medium-voltage induction motors. IEEE Trans Ind Appl 47(1):34–46CrossRef

13.

Zubayer HM (2011) Design analysis of line-start interior permanent magnet synchronous motor. M.Sc. Thesis, Memorial University of Newfoundland. http://sunzi.lib.hku.hk/ER/detail/hkul/5122492

14.

Culbert IM, Rhodes W (2007) Using current signature analysis technology to reliably detect cage winding defects in Squirrel-Cage induction motors. IEEE Trans Ind Appl 43(2):422–428CrossRef

15.

Bonnett AH, Souckup GC (1986) Rotor failures in squirrel cage induction motors. IEEE Trans Ind Appl 22(6):1165–1173CrossRef

16.

Faiz J, Ebrahimi BM, Sharifian MBB (2007) Time stepping finite element analysis of broken bars fault in a three-phase squirrel-cage induction motor. Prog Electromagn Res 68:53–70CrossRef

17.

Mirafzal B (2005) Incipient fault diagnosis in Squirrel-Cage induction motors. Marquette University, Milwaukee

18.

Nandi S, Toliyat HA, Li X (2005) Condition monitoring and fault diagnosis of electrical motors-a review. IEEE Trans Energy Convers 20(4):719–729CrossRef

19.

Kliman GB (1991) Transient rotor fault detection in induction and synchronous motors. US Patent 5 030 917, July 9

20.

Thomson WT, Deans ND, Leonard RA, Milne AJ (1983) Monitoring strategy for discriminating between different types of rotor defects in induction motors. In: Proceeding University Power Engineering Conference. Venice, pp 241–246

21.

Elder S, Watson JF, Thomson WT (1989) Fault detection in induction motors as a result of transient analysis. IET. In: Proceeding Fourth International Conference Electrical Machines and Drives. London, pp 182–186

22.

Briz F, Degner MW, García P, Bragado D (2008) Broken rotor bar detection in line-fed induction machines using complex wavelet analysis of startup transients. IEEE Trans Ind Appl 44(3):760–768CrossRef

23.

Tsoumas IP, Georgoulas G, Mitronikas ED, Safacas AN (2008) Asynchronous machine rotor fault diagnosis technique using complex wavelets. IEEE Trans Energy Convers 23(2):444–459CrossRef

24.

Yacamini R, Smith KS, Ran L (1998) Monitoring torsional vibrations of electro-mechanical systems using stator currents. J Vib Acoust 120(1):72–79CrossRef

25.

Arui QQ (1995) Diagnosis of rotor fault in squirrel cage induction motors using time-varying frequency spectrum of starting stator current. In: Proceeding Chinese Soc. Elect. Eng, pp 267–273

26.

Watson JF, Paterson NC (1998) Improved techniques for rotor fault detection in three-phase induction motors. In: Proceeding IEEE Industry Applications Conference 33rd IAS Annual Meeting. St. Louis, pp 271–277

27.

Antonino-Daviu J, Rodriguez PJ, Riera-Guasp M, Pineda-Sanchez M, Arkkio A (2009) Detection of combined faults in induction machines with stator parallel branches through the DWT of the startup current. Mech Syst Signal Process 23(7):2336–2351CrossRef

28.

Douglas H, Pillay P, Ziarani A (2004) A new algorithm for transient motor current signature analysis using wavelets. IEEE Trans Ind Appl 40(5):1361–1368CrossRef

29.

Zhang Z, Ren Z, Huang W (2003) A novel detection method of motor broken rotor bars based on wavelet ridge. IEEE Trans Energy Convers 18(3):417–423CrossRef

30.

Riera-Guasp M, Antonino-Daviu J, Rusek J, Roger-Folch J (2009) Diagnosis of rotor asymmetries in induction motors based on the transient extraction of fault components using filtering techniques. Electr Power Syst Res 79(8):1181–1191CrossRef

31.

Thobiani F, Ball A, Choi BK (2013) An application to transient current signal based induction motor fault diagnosis of fourier-bessel expansion and simplified fuzzy artmap. Expert Syst Appl 40(13):5372–5384CrossRef

32.

Cabal-Yepez E, Romero-Troncoso RJ, Garcia-Perez A, Osornio-Rios RA (2012) Single-parameter fault identification through information entropy analysis at the startup-transient current in induction motors”. Electr Power Syst Res 89:64–69CrossRef

33.

Mehrjou MR, Mariun N, Karami M, Misron N (2014) Performance analysis of line-start permanent magnet synchronous motor in presence of rotor fault. IEEE. In: Research and Development (SCOReD), 2014 IEEE Student Conference on. Batu Ferringhi, Malaysia, pp 1–l4

34.

Da Silva AM, Povinelli RJ, Demerdash NA (2008) Induction machine broken bar and stator short-circuit fault diagnostics based on three-phase stator current envelopes. IEEE Trans Ind Electron 55(3):1310–1318CrossRef

35.

Wang J, Liu S, Gao RX, Yan R (2012) Current envelope analysis for defect identification and diagnosis in induction motors. J Manuf Syst 31(4):380–387CrossRef

36.

Didier G, Ternisien E, Caspary O, Razik H (2006) Fault detection of broken rotor bars in induction motor using a global fault index. IEEE Trans Ind Appl 42(1):79–88CrossRef

37.

Ahamed SK, Karmakar S, Sarkar A, Mitra M, Sengupta S (2011) Diagnosis of broken rotor bar fault of induction motor through envelope analysis of motor startup current using hilbert and wavelet transform. Innov Syst Design Eng 2(4):163–176

38.

Filippetti F, Martelli M, Franceschini G, Tassoni C (1992) Development of expert system knowledge base to on-line diagnosis of rotor electrical faults of induction motors. In: Industry Applications Society Annual Meeting, Conference Record of the 1992 IEEE, pp 92–99

39.

Puche-Panadero R, Pineda-Sanchez M, Riera-Guasp M, Roger-Folch J, Hurtado-Perez E, Perez-Cruz J (2009) Improved resolution of the MCSA method via Hilbert transform, enabling the diagnosis of rotor asymmetries at very low slip. IEEE Trans Energy Convers 24(1):52–59CrossRef

40.

Matić D, Kulić F, Pineda-Sánchez M, Kamenko I (2012) Support vector machine classifier for diagnosis in electrical machines: application to broken bar. Expert Syst Appl 39(10):8681–8689CrossRef

41.

Kim J, Shin S, Lee SB, Gyftakis KN, Drif M, Marques Cardoso AJ (2015) Power spectrum-based detection of induction motor rotor faults for immunity to false alarms. IEEE Trans Energy Convers 30(3):1123–1132CrossRef

42.

AlThobiani F, Ball A, Choi BK (2013) An application to transient current signal based induction motor fault diagnosis of Fourier-Bessel expansion and simplified fuzzy ARTMAP. Expert Syst Appl 40(13):5372–5384CrossRef

43.

DeCarlo LT (1997) On the meaning and use of Kurtosis. Psychol Methods 2:292–307CrossRef

44.

Mardia KV (1970) Measures of multivariate skewness and kurtosis with applications. Biometrika 57:519–530MathSciNetCrossRefMATH

45.

Senguler T, Karatoprak E, Seker S (2010) A new MLP approach for the detection of incipient bearing damage. J Adv Electr Comput Eng 10:34–39CrossRef

46.

Stepanic P, Latinovic IV, Durovic Z (2009) A new approach to detection of defects in rolling element bearings based on statistical pattern recognition. J Adv Manuf Technol 45:91–100CrossRef

47.

Mustafa MO, Nikolakopoulos G, Georgoulas G (2015) Fault classification of broken rotor bars in induction motors based on envelope current analysis. In: Industrial Informatics (INDIN), IEEE 13th International Conference on. Cambridge, pp 795–800

48.

Niu G, Son JD, Widodo A, Yang BS, Hwang DH, Kang DS (2007) A comparison of classifier performance for fault diagnosis of induction motor using multi-type signals. Struct Health Monit 6(3):215–229CrossRef

49.

Lei Y, He Z, Zi Y (2008) A new approach to intelligent fault diagnosis of rotating machinery. Expert Syst Appl 35(4):1593–1600CrossRef

50.

Han T, Yang BS, Choi WH, Kim JS (2006) Fault diagnosis system of induction motors based on neural network and genetic algorithm using stator current signals. IJRM. doi:10.1155/IJRM/2006/61690

51.

Tukey JW (1977) Exploratory data analysis. 1st Edn. Addison-Wesley, New York

52.

Spiegel MR, Schiller J, Srinivasan A (2004) Theory and problems of probability and statistics. Schaum S Outline Series, 2nd edn. Tata McGraw Hill, USA

53.

Christensen R (1996) Analysis of variance, design, and regression: applied statistical methods. Chapman and Hall, London

54.

Antonino-Daviu J, Riera-Guasp M, Roger-Folch J, MartínezGiménez F, Peris A (2006) Application and optimization of the discrete wavelet transform for the detection of broken rotor bars in induction machines. Appl Comput Harmon Anal 21:268–279MathSciNetCrossRefMATH

Title: Analysis of statistical features based on start-up current envelope for broken rotor bar fault detection in line start permanent magnet synchronous motor
Authors: Mohammad Rezazadeh Mehrjou
Norman Mariun
Norhisam Misron
Mohd Amran Mohd Radzi
Publication date: 23-08-2016
Publisher: Springer Berlin Heidelberg
Published in: Electrical Engineering / Issue 1/2017
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI: https://doi.org/10.1007/s00202-016-0404-3

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