Response of electrical drives to gear and bearing faults - Diagnosis under transient and steady state conditions

Proceedings - 2013 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2013

Volumn , Issue , 2013, Pages 289-297

  Strangas, E G ^a  

^a Michigan State University   (United States)

Author keywords

bearings; categorization; Electrical Drives; fault detection; fault diagnosis; fault tolerance; gears; prognostics and health management; time frequency analysis

Indexed keywords

CATEGORIZATION; CURRENTS AND VOLTAGES; ELECTRICAL DRIVES; FAULT IDENTIFICATIONS; PROGNOSTICS AND HEALTH MANAGEMENTS; STEADY-STATE CONDITION; TIME FREQUENCY ANALYSIS; TIME FREQUENCY DOMAIN;

BEARINGS (STRUCTURAL); ELECTRIC MACHINERY; FAILURE ANALYSIS; FAULT DETECTION; FAULT TOLERANCE; FEATURE EXTRACTION; GEARS;

DRIVES;

EID: 84879595867     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WEMDCD.2013.6525188     Document Type: Conference Paper

References (38)

1. W. Zhou, T. Habetler, and R. Harley, "Bearing condition monitoring methods for electric machines: A general review," in IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2007., Sept. 2007, pp. 3-6.
2. F. Ferreira, J. Trovao, and A. de Almeida, "Motor bearings and insulation system condition diagnosis by means of common-mode currents and shaft-ground voltage correlation," in 18th International Conference on Electrical Machines, ICEM 2008., Sept. 2008, pp. 1-6.
3. H. Tischmacher and S. Gattermann, "Investigations on bearing currents in converter-fed electrical motors," in 20th International Conference on Electrical Machines, 2012. ICEM 2012., Sep. 2012.
4. F. Immovilli, A. Bellini, R. Rubini, and C. Tassoni, "Diagnosis of bearing faults in induction machines by vibration or current signals: A critical comparison," IEEE Transactions on Industry Applications, vol. 46, no. 4, pp. 1350-1359, July-Aug. 2010.
5. S. Kia, H. Henao, and G.-A. Capolino, "A comparative study of acoustic, vibration and stator current signatures for gear tooth fault diagnosis," in 2012 XXth International Conference on Electrical Machines (ICEM), sept. 2012, pp. 1514-1519.
6. M. Amarnath and I. Praveen Krishna, "Empirical mode decomposition of acoustic signals for diagnosis of faults in gears and rolling element bearings," IET Science, Measurement Technology, vol. 6, no. 4, pp. 279-287, July 2012.
7. B. Zhang, C. Sconyers, C. Byington, R. Patrick, M. Orchard, and G. Vachtsevanos, "A probabilistic fault detection approach: Application to bearing fault detection," IEEE Transactions on Industrial Electronics, vol. 58, no. 5, pp. 2011-2018, may 2011.
8. O. Magdun, Y. Gemeinder, A. Binder, and K. Reis, "Calculation of bearing and common-mode voltages for the prediction of bearing failures caused by edm currents," in 2011 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics Drives (SDEMPED), Sept. 2011, pp. 462-467.
9. M. Blodt, P. Granjon, B. Raison, and G. Rostaing, "Models of bearing damage detection in induction motors using stator current monitoring," IEEE Transactions on Industrial Electronics, vol. 55, pp. 1813-1822, 2008.
10. J. Rosero, L. Romeral, E. Rosero, and J. Urresty, "Fault detection in dynamic conditions by means of discrete wavelet decomposition for pmsm running under bearing damage," in Twenty-Fourth Annual IEEE Applied Power Electronics Conference and Exposition. APEC 2009., Feb. 2009, pp. 951-956.
11. N. Tandon and A. Choudhury, "An analytical model for fhe prediction of the vibration response of rolling element bearings due to a localized defect," Journal of Sound and Vibration, vol. 205, pp. 275-292, August 1997.
12. W. Wang, "Early detection of gear tooth cracking using the resonance demodulation technique," Mechanical Systems and Signal Processing, vol. 15, pp. 887-903, Sep. 2001.
13. S. Zaidi, S. Aviyente, M. Salman, K.-K. Shin, and E. Strangas, "Prognosis of gear failures in DC starter motors using hidden Markov models," IEEE Transactions on Industrial Electronics, vol. 58, no. 5, pp. 1695-1706, may 2011.
14. E. E. Bouchikhi, V. Choqueuse, and M. E. H. Benbouzid, "Current frequency spectral subtraction and its contribution to induction machines' bearings condition monitoring," IEEE Transactions on Energy Conversion, vol. 28, no. 1, pp. 135-144, March 2013.
15. Q. He and X. Wang, "Time-frequency manifold for demodulation with application to gearbox fault detection," in 2012 IEEE Conference on Prognostics and System Health Management (PHM), may 2012, pp. 1-6.
16. A. Mohanty and C. Kar, "Fault detection in a multistage gearbox by demodulation of motor current waveform," IEEE Transactions on Industrial Electronics, vol. 53, no. 4, pp. 1285-1297, June 2006.
17. C. Wolf and R. Lorenz, "Using the motor drive as a sensor to extract spatially dependent information for motion control applications," IEEE Transactions on Industry Applications, vol. 47, no. 3, pp. 1344-1351, May-June 2011.
18. D. Lu, X. Gong, and W. Qiao, "Current-based diagnosis for gear tooth breaks in wind turbine gearboxes," in 2012 IEEE Energy Conversion Congress and Exposition (ECCE), sept. 2012, pp. 3780-3786.
19. J. Silva and A. Cardoso, "Bearing failures diagnosis in three-phase induction motors by extended Park's vector approach," in 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005., nov. 2005, p. 6 pp.
20. S. Ben Salem, K. Bacha, and M. Gossa, "Induction motor fault diagnosis using an improved combination of Hilbert and Park transforms," in 16th IEEE Mediterranean Electrotechnical Conference (MELECON), 2012, March 2012, pp. 1141-1146.
21. K.-K. Huh, R. Lorenz, and N. Nagel, "Gear fault diagnostics integrated in the motion servo drive for electromechanical actuators," IEEE Transactions onIndustry Applications, vol. 48, no. 1, pp. 142-150, jan.-feb. 2012.
22. I. Bogiatzidis, A. Safacas, and E. Mitronikas, "Detection of backlash phenomena appearing in a single cement kiln drive using the current and the electromagnetic torque signature," IEEE Transactions on Industrial Electronics, vol. PP, no. 99, p. 1, 2012.
23. M. Pacas, S. Villwock, and R. Dietrich, "Bearing damage detection in permanent magnet synchronous machines," in IEEE Energy Conversion Congress and Exposition, 2009. ECCE 2009., Sept. 2009, pp. 1098-1103.
24. D. Busse, J. Erdman, R. Kerkman, D. Schlegel, and G. Skibinski, "The effects of PWM voltage source inverters on the mechanical performance of rolling bearings," IEEE Transactions on Industry Applications, vol. 33, no. 2, pp. 567-576, Mar Apr 1997.
25. A. Muetze, A. Binder, H. Vogel, and J. Hering, "Experimental evaluation of the endangerment of ball bearings due to inverter-induced bearing currents," in Conference Record of the 2004 IEEE Industry Applications Conference., vol. 3, Oct. 2004, pp. 1989-1995.
26. H. Henao, S. Kia, and G. Capolino, "Torsional-vibration assessment and gear-fault diagnosis in railway traction system," IEEE Transactions on Industrial Electronics, vol. 58, no. 5, pp. 1707-1717, may 2011.
27. T. Lindh, J. Ahola, J. Kamarainen, V. Kyrki, and J. Partanen, "Bearing damage detection based on statistical discrimination of stator current," in 4th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2003. SDEMPED 2003., Aug. 2003, pp. 177-181.
28. H. Yin and W. Li, "Gear incipient fault prognosis using densityadjustable spectral clustering and transductive SVM," in 2012 IEEE Conference on Prognostics and System Health Management (PHM), may 2012, pp. 1-5.
29. A. Soualhi, G. Clerc, H. Razik, and A. Lebaroud, "Fault detection and diagnosis of induction motors based on hidden markov model," in XXth International Conference on Electrical Machines (ICEM),2012, Sept. 2012, pp. 1693-1699.
30. Y. Jia, L. Sun, and H. Teng, "A comparison study of hidden Markov model and particle filtering method: Application to fault diagnosis for gearbox," in 2012 IEEE Conference onPrognostics and System Health Management (PHM), may 2012, pp. 1-7.
31. M. Cococcioni, B. Lazzerini, and S. Volpi, "Robust diagnosis of rolling element bearings based on classification techniques," IEEE Transactions on Industrial Informatics, vol. PP, no. 99, p. 1, 2012.
32. Z. Obeid, S. Poignant, J. Regnier, and P. Maussion, "Stator current based indicators for bearing fault detection in synchronous machine by statistical frequency selection," in IECON 2011-37th Annual Conference on IEEE Industrial Electronics Society, Nov. 2011, pp. 2036-2041.
33. E. Strangas, S. Aviyente, S. Zaidi, and J. Neely, "The effect of failure prognosis and mitigation on the reliability of Permanent Magnet AC motor drives," IEEE Transactions on Industrial Electronics, vol. PP, no. 99, p. 1, 2012.
34. O. Geramifard, J. Xu, and W. Chen, "An HMM-based seminonparametric approach for fault diagnostics in rotary electric motors," in 2012 IEEE International Symposium on Industrial Electronics (ISIE), May 2012, pp. 1218-1223.
35. H. Ocak, K. A. Loparo, and F. M. Discenzo, "Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling: A method for bearing prognostics," Journal of Sound and Vibration, no. 302, pp. 951-961, 2007.
36. X. Weidong, L. Yibing, H. Ying, and S. Boxian, "Amplitude envelope analysis for feature extraction of direct-driven wind turbine bearing failure," in 2012 10th World Congress on Intelligent Control and Automation (WCICA), July 2012, pp. 3173-3176.
37. J. Kang, X. Zhang, J. Zhao, H. Teng, and D. Cao, "Gearbox fault diagnosis method based on wavelet packet analysis and support vector machine," in 2012 IEEE Conference on Prognostics and System Health Management (PHM), May 2012, pp. 1-13.
38. J. Kang, X. Zhang, J. Zhao, and D. Cao, "Gearbox fault prognosis based on CHMM and SVM," in 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), June 2012, pp. 703-708.