A probabilistic fault detection approach: Application to bearing fault detection

IEEE Transactions on Industrial Electronics

Volumn 58, Issue 5, 2011, Pages 2011-2018

  Zhang, Bin ^a   Sconyers, Chris ^a   Byington, Carl ^a   Patrick, Romano ^a   Orchard, Marcos E ^b   Vachtsevanos, George ^c,d  

^a IMPACT TECHNOLOGIES LLC   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c UNIVERSITY OF CHILE   (Chile)

^d GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Fault detection; fault progression modeling; feature extraction; particle filtering; rolling element bearing; signal enhancement

Indexed keywords

ABNORMAL CONDITIONS; BAYESIAN ESTIMATIONS; BEARING FAULT DETECTION; CONDITION INDICATORS; CONFIDENCE LEVELS; DEGREE OF CONFIDENCE; ENABLING TECHNOLOGIES; ENGINEERED SYSTEMS; FALSE ALARM RATE; FATIGUE ANALYSIS; FAULT CONDITIONS; FAULT PROGRESSION MODELING; GENERIC MODELS; PARTICLE FILTERING; PROBABILISTIC FAULT DETECTION; ROLLING ELEMENT BEARING; SENSOR DATA; SIGNAL ENHANCEMENT; TEST RIGS;

BAYESIAN NETWORKS; BEARINGS (STRUCTURAL); FEATURE EXTRACTION; INNOVATION; NONLINEAR FILTERING; ROLLING; SIGNAL DETECTION;

FAULT DETECTION;

EID: 79954538160     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2010.2058072     Document Type: Article

References (24)

1. D. T. Suggs and D. R.Wade, "Vibration based maintenance credits for the UH-60 oil cooler fan assembly," presented at the AHS Specialists' Meeting Condition Based Maintenance, Huntsville, AL, Feb. 12-13, 2008.
2. J. Keller, D. Dunaway, R. Branhof, and P. Grabill, "Examples of condition based maintenance with the vibration management enhancement program," in Proc. Amer. Helicopter Soc. 61st Annu. Forum, Grapevine, TX, Jun. 1-3, 2005.
3. E. Bechhoefer, "A method for generalized prognostics of a component using Paris law," in Proc. Amer. Helicopter Soc. 64th Annu. Forum, Montreal, CA, Apr. 29-May 1, 2008.
4. B. Ayhan, M.-Y. Chow, and M.-H. Song, "Multiple discriminant analysis and neural network based monolith and partition fault detection schemes for broken rotor bar in induction motors," IEEE Trans. Ind. Electron., vol. 53, no. 4, pp. 1298-1308, Jun. 2006. (Pubitemid 44263740)
5. B. Ayhan, H. Trussell, M.-Y. Chow, and M.-H. Song, "On the use of a lower sampling rate for broken rotor bar detection with DTFT and AR-based spectrum methods," IEEE Trans. Ind. Electron., vol. 55, no. 3, pp. 1421-1434, Mar. 2008. (Pubitemid 351447583)
6. M. Khan and M. Rahman, "Development and implementation of a novel fault diagnostic and protection technique for IPM motor drivers," IEEE Trans. Ind. Electron., vol. 56, no. 1, pp. 85-92, Jan. 2009.
7. A. Lebaroud and G. Cleac, "Classification of induction machine faults by optimal time-frequency representations," IEEE Trans. Ind. Electron., vol. 55, no. 12, pp. 4290-4298, Dec. 2008.
8. R. Isermann and P. Balle, "Trends in the application of model-based fault detection and diagnosis of technical processes," Control Eng. Pract., vol. 5, no. 5, pp. 709-719, May 1997. (Pubitemid 27414363)
9. A. Y. Goharrizi and N. Sepehri, "A wavelet-based approach to internal seal damage diagnosis in hydraulic actuators," IEEE Trans. Ind. Electron., vol. 57, no. 5, pp. 1755-1763, May 2010.
10. L. Frosini and E. Bassi, "Stator current and motor efficiency as indicators for different types of bearing faults in induction motors," IEEE Trans. Ind. Electron., vol. 57, no. 1, pp. 244-251, Jan. 2010.
11. W. Yang, P. J. Tavner, C. J. Crabtree, and M. Wilkinson, "Cost-effective condition monitoring for wind turbines," IEEE Trans. Ind. Electron., vol. 57, no. 1, pp. 263-271, Jan. 2010.
12. D. Tolani, M. Yasar, S. Chin, and A. Ray, "Anomaly detection for health management of aircraft gas turbine engines," in Proc. Amer. Control Conf., Portland, OR, Jun. 2005, pp. 459-464. (Pubitemid 41189419)
13. W. Zhou, T. Habetler, and R. Harley, "Bearing fault detection via stator current noise cancellation and statistical control," IEEE Trans. Ind. Electron., vol. 55, no. 12, pp. 4260-4269, Dec. 2008.
14. A. Ibrahim, M. El Badaoui, F. Guillet, and F. Bonnardot, "A new bearing fault detection method in induction machine based on instantaneous power factor," IEEE Trans. Ind. Electron., vol. 55, no. 12, pp. 4252-4259, Dec. 2008.
15. N. Gebraeel and J. Pan, "Prognostic degradation models for computing and updating residual life distributions in a time-varying environment," IEEE Trans. Rel., vol. 57, no. 4, pp. 539-550, Dec. 2008.
16. N. de Freitas, "Rao-Blackwellised particle filtering for fault diagnosis," in Proc. IEEE Aerosp. Conf., 2002, pp. 1767-1772.
17. V. Kadirkamanathan, P. Li, M. H. Jaward, and S. G. Fabri, "Particle filtering-based fault detection in nonlinear stochastic systems," Int. J. Syst. Sci., vol. 33, no. 4, pp. 259-265, Mar. 2002. (Pubitemid 34593739)
18. B. Zhang, C. Sconyers, C. Byington, R. Patrick, M. Orchard, and G. Vachtsevanos, "Anomaly detection: A robust approach to detection of unanticipated faults," in Proc. IEEE Int. Conf. Prognostics Health Manage., Denver, CO, Oct. 2008, pp. 1-8.
19. M. Orchard and G. Vachtsevanos, "A particle filtering approach for on-line fault diagnosis and failure prognosis," Trans. Inst. Meas. Control, vol. 31, no. 3/4, pp. 221-246, Jun. 2009.
20. M. Abbas, A. Ferri, M. Orchard, and G. Vachtsevanos, "An intelligent diagnostic/prognostic framework for automotive electrical systems," in Proc. IEEE Intell. Veh. Symp., Jun. 2007, pp. 352-357.
21. B. Zhang, T. Taimoor, R. Patrick, G. Vachtsevanos, M. Orchard, and A. Saxena, "Application of blind deconvolution de-noising in failure prognosis," IEEE Trans. Instrum. Meas., vol. 58, no. 2, pp. 303-310, Feb. 2009.
22. Y. Li, S. Billington, C. Zhang, T. Kurfess, S. Danyluck, and S. Liang, "Adaptive prognosis for rolling element bearing condition," Mech. Syst. Signal Process., vol. 13, no. 1, pp. 103-113, Jan. 1999.
23. I. Howard, "A review of rolling element bearing vibration: Detection, diagnosis and prognosis," Airframes Engines Div., Melbourne, Australia, DSTO-RR-0013, 1994.
24. P. Zarchan and H. Musoff, Fundamentals of Kalman Filtering: A Practical Approach, vol. 208, Progress in Astronautics and Aeronautics. Reston, VA: AIAA, 2005.