Adaptive feature extraction and SVM classification for real-time fault diagnosis of drivetrain gearboxes

2013 IEEE Energy Conversion Congress and Exposition, ECCE 2013

Volumn , Issue , 2013, Pages 3934-3940

  Lu, Dingguo ^a   Qiao, Wei ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Adaptive resampling; classification; condition monitoring; drivetrain gearbox; fault diagnosis; permanent magnet synchronous generator (PMSG); support vector machine (SVM)

Indexed keywords

ADAPTIVE FEATURE EXTRACTIONS; ADAPTIVE RESAMPLING; DRIVETRAIN GEARBOX; PERMANENT MAGNET SYNCHRONOUS GENERATOR; PERMANENT MAGNET SYNCHRONOUS MACHINES; RADIAL BASIS FUNCTIONS; REAL-TIME FAULT DIAGNOSIS; STATOR CURRENT SIGNAL;

ALGORITHMS; CLASSIFICATION (OF INFORMATION); CONDITION MONITORING; ELECTRIC FAULT CURRENTS; ELECTRIC MACHINERY; ENERGY CONVERSION; FAILURE ANALYSIS; FEATURE EXTRACTION; INDUSTRIAL APPLICATIONS; RADIAL BASIS FUNCTION NETWORKS; SYNCHRONOUS GENERATORS;

SUPPORT VECTOR MACHINES;

EID: 84891106528     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ECCE.2013.6647222     Document Type: Conference Paper

References (17)

1. H. Lee, K. Kim and J. Lee, "Review of maglev train technologies," IEEE Trans. Magnetics, vol. 42, no. 7, pp. 1917-1925, Jun. 2006.
2. A. Boglietti, A. Cavagnino, A. Tenconi, and S. Vaschetto, "The safety critical electric machines and drives in the more electric aircraft: A survey," in Proc. 35th Annual Conference of IEEE Industrial Electronics Society, Nov. 2009, pp. 2587-2594.
3. G. Maggetto and J. Van Mierlo, "Electric and electric hybrid vehicle technology: a survey," in Proc. IEE Seminar Electric, Hybrid and Fuel Cell Vehicles, Apr. 2000, pp. 1/1-111.
4. K. Smolders, H. Long, Y. Fend, and P. Tavner, "Reliability analysis and prediction of wind turbine gearboxes," in Proc. European Wind Energy Conference, Apr. 2010, pp. 162-165.
5. D. Lu, X. Gong, and W. Qiao, "Current-based diagnosis for gear tooth breaks in wind turbine gearboxes," in Proc. IEEE Energy Conversion Congress and Exposition, Sept. 2012, pp. 3780-3786.
6. D. Lu, W. Qiao, X. Gong and L. Qu, "Current-based fault detection for wind turbine systems via Hilbert-Huang transform," in Proc. IEEE Power &Energy Society General Meeting, Jul. 2013.
7. S. H. Kia, H. Henao, and G. A. Capolino, "Gearbox monitoring using induction machine stator current analysis," in Proc. IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, Sept. 2007, pp. 149-154.
8. D. Lu and W. Qiao, "Frequency demodulation-Aided condition monitoring for drivetrain gearboxes," in Proc. IEEE Transportation Electrification Conference and Exposition, Jun. 2013.
9. C. S. Tyagi, "A comparative study of SVM classifiers and artificial neural networks application for rolling element bearing fault diagnosis using wavelet transform preprocessing," in Proc. World Academy of Science, Engineering and Technology, Sept. 2008, pp. 319-327.
10. V. Vapnik, The Nature of Statistical Learning Theory, 2nd ed., New York: Springer, Nov. 2000.
11. V. N. Vapnik, "An overview of statistical learning theory," IEEE Trans. Neural Networks, vol. 10, no. 5, pp. 988-999, Sept. 1999.
12. R. R. Schoen and T. G. Habetler, "Effects of time-varying loads on rotor fault detection in induction machines," IEEE Trans. Industry Applications, vol. 31, no. 4, pp. 900-906, Jul. 1995.
13. C. Kar and A. R. Mohanty, "Monitoring gear vibrations through motor current signature analysis and wavelet transform," Mechanical Systems and Signal Processing, vol. 20, no. 1, pp. 158-187, Jan. 2006.
14. C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 121-167, Jun. 1998.
15. L. W. Couch, Digital &Analog Communication Systems, 7th ed., New York: Prentice Hall, 2006.
16. M. Feldman, Hilbert Transform Application in Mechanical Vibration, 1st ed., New York: Wiley, 2011.
17. L.K. Muthen and B.O. Muthen, "How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power," Structural Equation Modeling: A Multidisciplinary Journal, vol. 9, no. 4, pp. 599-620, Nov. 2009.