Dual-Impulse Response Model for the Acoustic Emission Produced by a Spall and the Size Evaluation in Rolling Element Bearings

IEEE Transactions on Industrial Electronics

Volumn 62, Issue 10, 2015, Pages 6606-6615

  Ming, An Bo ^a   Zhang, Wei ^a   Qin, Zhao Ye ^b   Chu, Fu Lei ^b  

^a XI'AN RESEARCH INSTITUTE OF HIGH TECHNOLOGY   (China)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

Acoustic emission (AE); rolling element bearings; size evaluation; spall; squared envelope spectrum

Indexed keywords

ACOUSTIC EMISSION TESTING; BEARINGS (MACHINE PARTS); FAULT DETECTION; IMPULSE RESPONSE; SPALLING;

ACOUSTIC EMISSION SIGNAL; ENVELOPE SPECTRA; IMPULSE RESPONSE MODEL; INCIPIENT FAULT DETECTION; OPERATION PERFORMANCE; REMAINING USEFUL LIVES; ROLLING ELEMENT BEARING; SIZE EVALUATION;

ROLLER BEARINGS;

EID: 84941585417     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2015.2463767     Document Type: Article

References (32)

1. M. Kang et al., "Reliable fault diagnosis for low-speed bearings using individually trained support vector machines with kernel discriminative feature analysis," IEEE Trans. Power Electron., vol. 30, no. 5, pp. 2786-2797, May 2015.
2. X. Gong and W. Qiao, "Bearing fault diagnosis for direct-drive wind turbines via current-demodulated signals," IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3419-3428, Aug. 2013.
3. Y. Lv, N. Guan, J. Liu, and T. Cai, "The fault diagnosis of rolling bearing in gearbox of wind turbines based on second generation wavelet," in Proc. ICWAPR, Jul. 2014, pp. 43-49.
4. C. Pezzani, J. Bossio, A. Castellino, G. Bossio, and C. De Angelo, "Bearing fault detection in wind turbines with permanent magnet synchronous machines," IEEE Latin Amer. Trans. (Revista IEEE America Latina), vol. 12, no. 7, pp. 1199-1205, Oct. 2014.
5. J. Harmouche, C. Delpha, and D. Diallo, "Improved fault diagnosis of ball bearings based on the global spectrum of vibration signals," IEEE Trans. Energy Convers., vol. 30, no. 1, pp. 376-383, Mar. 2015.
6. V. Leite et al., "Detection of localized bearing faults in induction machines by spectral kurtosis and envelope analysis of stator current," IEEE Trans. Ind. Electron., vol. 62, no. 3, pp. 1855-1865, Mar. 2015.
7. J. Wang, Q. He, and F. Kong, "Adaptive multiscale noise tuning stochastic resonance for health diagnosis of rolling element bearings," IEEE Trans. Instrum. Meas., vol. 64, no. 2, pp. 564-577, Feb. 2015.
8. J. Seshadrinath, B. Singh, and B. Panigrahi, "Investigation of vibration signatures for multiple fault diagnosis in variable frequency drives using complex wavelets," IEEE Trans. Power Electron., vol. 29, no. 2, pp. 936-945, Feb. 2014.
9. X. Jin, M. Zhao, T. Chow, and M. Pecht, "Motor bearing fault diagnosis using trace ratio linear discriminant analysis," IEEE Trans. Ind. Electron., vol. 61, no. 5, pp. 2441-2451, May 2014.
10. F. Immovilli, C. Bianchini, M. Cocconcelli, A. Bellini, and R. Rubini, "Bearing fault model for induction motor with externally induced vibration," IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3408-3418, Aug. 2013.
11. M. Kiani, D. Torregrossa, B. Fahimi, F. Peyraut, and A. Miraoui, "Detection of faults in PMSM using field reconstruction method and mechanical impulse response," in Proc. 26th APEC, Mar. 2011, pp. 1896-1901.
12. D. Torregrossa, A. Khoobroo, and B. Fahimi, "Prediction of acoustic noise and torque pulsation in PM synchronous machines with static eccentricity and partial demagnetization using field reconstruction method," IEEE Trans. Ind. Electron., vol. 59, no. 2, pp. 934-944, Feb. 2012.
13. M. Blodt, P. Granjon, B. Raison, and G. Rostaing, "Models for bearing damage detection in induction motors using stator current monitoring," IEEE Trans. Ind. Electron., vol. 55, no. 4, pp. 1813-1822, Apr. 2008.
14. J. Stack, T. Habetler, and R. Harley, "Fault-signature modeling and detection of inner-race bearing faults," IEEE Trans. Ind. Appl., vol. 42, no. 1, pp. 61-68, Jan. 2006.
15. R. Singleton, E. Strangas, and S. Aviyente, "Extended Kalman filtering for remaining-useful-life estimation of bearings," IEEE Trans. Ind. Electron., vol. 62, no. 3, pp. 1781-1790, Mar. 2015.
16. R. B. Randall, J. Antoni, and S. Chobsaard, "The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals," Mech. Syst. Signal Process., vol. 15, no. 5, pp. 945-962, Sep. 2001.
17. T. Barszcz and A. Jabiłński, "A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram," Mech. Syst. Signal Process., vol. 25, no. 1, pp. 431-451, Jan. 2011.
18. M. Kang, J. Kim, and J.-M. Kim, "High-performance and energy-efficient fault diagnosis using effective envelope analysis and denoising on a general-purpose graphics processing unit," IEEE Trans. Power Electron., vol. 30, no. 5, pp. 2763-2776, May 2015.
19. J. Antoni, "Cyclic spectral analysis of rolling-element bearing signals: Facts and fictions," J. Sound Vib., vol. 304, no. 3-5, pp. 497-529, 2007.
20. J. Urbanek, J. Antoni, and T. Barszcz, "Detection of signal component modulations using modulation intensity distribution," Mech. Syst. Signal Process., vol. 28, pp. 399-413, Apr. 2012.
21. P. D. McFadden and J. D. Smith, "Model for the vibration produced by a single point defect in a rolling element bearing," J. Sound Vib., vol. 96, no. 1, pp. 69-82, Sep. 1984.
22. J. Antoni and R. B. Randall, "A stochastic model for simulation and diagnostics of rolling element bearings with localized faults," Trans. ASME, J. Vib. Acoust., vol. 125, no. 3, pp. 282-289, 2003.
23. I. Epps and H. McCallion, "An investigation into the characteristics of vibration excited by discrete faults in rolling element bearings," in Proc. 4th Annu. Conf. Vib. Assoc., Christchurch, New Zealand, 1994.
24. N. Sawalhi and R. B. Randall, "Vibration response of spalled rolling element bearings observations, simulations and signal processing techniques to track the spall size," Mech. Syst. Signal Process., vol. 25, no. 3, pp. 846-870, 2011.
25. A. M. Al-Ghamd and D. Mba, "A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size," Mech. Syst. Signal Process., vol. 20, no. 7, pp. 1537-1571, 2006.
26. S. Al-Dossary, R. R. Hamzah, and D. Mba, "Observations of changes in acoustic emission waveform for varying seeded defect sizes in a rolling element bearing," Appl. Acoust., vol. 70, no. 1, pp. 58-81, 2009.
27. C. K. Tan, P. Irving, and D. Mba, "A comparative experimental study on the diagnostic and prognostic capabilities of acoustic emission, vibration and spectrometric oil analysis for spur gears," Mech. Syst. Signal Process., vol. 21, no. 1, pp. 208-233, 2007.
28. B. Eftekharnejad, M. R. Carrasco, B. Charnley, and D. Mba, "The application of spectral kurtosis on acoustic emission and vibrations from a defective bearing," Mech. Syst. Signal Process., vol. 25, no. 1, pp. 266-284, 2011.
29. M. Elforjani and D. Mba, "Accelerated natural fault diagnosis in slow speed bearings with acoustic emission," Eng. Fract. Mech., vol. 77, no. 1, pp. 112-127, 2010.
30. R. B. Randall and J. Antoni, "Rolling element bearing diagnostics-A tutorial," Mech. Syst. Signal Process., vol. 25, no. 2, pp. 485-520, 2011.
31. P. W. Tse and D. Wang, "The automatic selection of an optimal wavelet filter and its enhancement by the new sparsogram for bearing fault detection: Part 2 of the two related manuscripts that have a joint title as two automatic vibration-based fault diagnostic methods using the novel sparsity measurement-Parts 1 and 2," Mech. Syst. Signal Process., vol. 40, no. 2, pp. 520-544, 2013.
32. J. Sandy, "Monitoring and diagnostics for rolling element bearings," J. Sound Vib., vol. 20, no. 6, pp. 1-20, 1988.