Browse > Article

An Intelligent Fault Detection and Diagnosis Approaches using Parzen Density Estimation and Multi-class SVMs  

Seo, Kwang-Kyu (Dept. of Industrial Information and Systems Engineering, Sangmyung University)
Publication Information
Journal of the Korea Safety Management & Science / v.11, no.1, 2009 , pp. 87-91 More about this Journal
Keywords
Intelligent Fault Detection and Diagnosis; Parzen Density Estimation; Multi-class SVMs;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Markou, M., Singh, S, 'Novelty detection: a review-part 2: neural network based approaches', Signal Processing, 83(12)(2003): 2499-2521   DOI   ScienceOn
2 Lee, Y. S. et al., 'An acoustic diagnostic technique for use with electric machine insulation', IEEE Transactions on Dielectrics and Electrical Insulation, 9(1994): 1186–1193   DOI
3 Thollon, F., Jammal, A., & Grellet, G., 'Asynchronous motor cage fault detection through electromagnetic torque measurement', European Transactions on Electrical Power, 3(1993): 375–378   DOI
4 Lou, X., Loparo, K. A., 'Bearing fault diagnosis based on wavelet transform and fuzzy inference', Mechanical Systems and Signal Processing, 18(6)(2004): 373-390   DOI   ScienceOn
5 Stone, G. C., Sedding, H. G., & Costello, M. J., 'Application of partial discharge testing to motor and generator stator winding maintenance', IEEE Transactions on Industry Application, 32(1996): 459–464   DOI   ScienceOn
6 Tax, M. J., Duin, P. W., 'Support vector data description', Machine Learning, 54(2004): 45-66   DOI   ScienceOn
7 Scholkopf, B., Smola, A.J., Learning with Kernels, MIT Press, Cambridge Massachusetts London, (2002)
8 Duda, R.O., Hart, P.E. and Stork, D.G., Pattern Classification, 2nd Ed., Wiley-Interscience, (2001)
9 Markou, M., Singh, S., 'Novelty detection: a review-part 1: statistical approaches. Signal Processing', 83(12) (2003): 2481-2497   DOI   ScienceOn
10 Thomson, W. T., & Fenger, M., 'Current signature analysis to detect induction motor faults', IEEE Transactions on Industry Applications, 7(2001); 26–34   DOI   ScienceOn