Probabilistic inter-disturbance interval estimation for bearing fault diagnosis

2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2009

Volumn , Issue , 2009, Pages

  Wilson, Kevin W ^a  

^a MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

Author keywords

Bearing fault classification; Condition monitoring; Fault diagnosis; Vibration

Indexed keywords

BEARING DEFECT; BEARING FAULT; BEARING FAULT CLASSIFICATION; BEARING FAULT DIAGNOSIS; BEARING FAULT SIGNATURE; FAULT DIAGNOSIS; FAULT DISTURBANCE; FAULT SIGNAL; INTERVAL ESTIMATION; OUTER RACES; PERIODIC DISTURBANCES; PROBABILISTIC MODELS; ROLLING ELEMENTS; TIMING VARIATIONS; VIBRATION DATA; VIBRATION SIGNAL;

BEARINGS (STRUCTURAL); CONDITION MONITORING; ELECTRIC MACHINERY; FAILURE ANALYSIS; POWER ELECTRONICS; SIGNAL DETECTION; SIGNAL GENERATORS;

ELECTRIC DRIVES;

EID: 74349100479     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEMPED.2009.5292803     Document Type: Conference Paper

References (15)

1. G. K. Singh, ."Induction machine drive condition monitoring and diagnostic research-a survey", . Electric Power Systems Research, vol. 64, pp. 145.158(14), February 2003.
2. P. D. McFadden and J. D. Smith, "The vibration monitoring of rolling element bearings by the high-frequency resonance technique - a review," Tribology International, vol. 17, no. 1, pp. 3-10, 1984.
3. S. McInerny and Y. Dai, ."Basic vibration signal processing for bearing fault detection", . Education, IEEE Transactions on, vol. 46, no. 1, pp. 149.156, Feb 2003.
4. N. Tandon and A. Choudhury, ."A review of vibration and acoustic measurement methods for the detectio n of defects in rolling element bearings", . Tribology International, vol. 32, no. 8, pp. 469-480, 1999.
5. J. Stack, T. Habetler, and R. Harley, ."Fault classification and fault signature production for rolling element bearings in electric machines", . Industry Applications, IEEE Transactions on, vol. 40, no. 3, pp. 735-739, May-June 2004.
6. T. A. Harris and M. N. Kotzalas, Essential Concepts of Bearing Technology, Fifth Edition. CRC Press, 2006.
7. J. Stack, R. Harley, and T. Habetler, ."An amplitude modulation detector for fault diagnosis in rolling element bearings", . IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the], vol. 4, pp. 3377-3382 vol.4, Nov. 2002.
8. D.-M. Yang, ."Induction motor bearing fault detection with nonstationary signal analysis", . in Mechatronics, ICM2007 4th IEEE International Conference on, May 2007, pp. 1-6.
9. S. Seker, S. Gullulu, and E. Ayaz, ."Transfer function approach based upon wavelet transform for bearing damage detection in electric motors", . in Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on, 30 2008-July 2 2008, pp. 749-752.
10. B. Li, M.-Y. Chow, Y. Tipsuwan, and J. Hung, ."Neural-network-based motor rolling bearing fault diagnosis", . Industrial Electronics, IEEE Transactions on, vol. 47, no. 5, pp. 1060-1069, Oct. 2000.
11. H. Su and K. T. Chong, ."Induction machine condition monitoring using neural network modeling", . Industrial Electronics, IEEE Transactions on, vol. 54, no. 1, pp. 241.249, Feb. 2007.
12. A. Mahamad and T. Hiyama, ."Development of artificial neural network based fault diagnosis of induction motor dearing", . in Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International, Dec. 2008, pp. 1387-1392.
13. H. Ocak and K. Loparo, ."A new bearing fault detection and diagnosis scheme based on hidden markov modeling of vibration signals", . in Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on, vol. 5, 2001, pp. 3141-3144 vol.5.
14. A. Lebaroud and G. Clerc, ."Classification of induction machine faults by optimal timefrequency representations", . Industrial Electronics, IEEE Transactions on, vol. 55, no. 12, pp. 4290.4298, Dec. 2008.
15. J. A. Bilmes, "A gentle tutorial on the em algorithm and its application to parameter estimation for gaussian mixture and hidden markov models", . Tech. Rep., 1997.