Application of Similarity in Fault Diagnosis of Power Electronics Circuits

Author:

RONGJIE Wang12,YIJU Zhan3,MEIQIAN Chen2,HAIFENG Zhou2,KEWEI Guo2

Affiliation:

1. School of Information Science and Technology, Sun Yat-sen University

2. Marine Engineering Institute, Jimei University

3. School of Engineering, Sun Yat-sen University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Reference11 articles.

1. [1] H.I. Son, T.J. Kim, and D.W. Kang, “Fault diagnosis and neural point voltage control when the 3-level inverter fault occur,” 2004 35th Annual IEEE Power Electronics Specialists Conference, pp.4558-4563, 2004.

2. [2] Q. H, R.J. Wang, and Y.J. Zhan, “Fault diagnosis technology based on SVM in power electronics circuit,” Proc. CSEE, vol.28, no.12, pp.107-111, 2008.

3. [3] A.M. Liu, X. Lin, and X.D. Liu, “Fault diagnosis method of high voltage circuit breaker based on RBF,” 2005 IEEE/PES Transmission and Distribution Conference & Exhibition: Asia and Pacific, pp.1-4, 2005.

4. [4] B.S. Yang, T. Han, and J.L. An, “Neural network for fault diagnosis of rotating machinery,” Mechanical Systems and Signal Processing, vol.18, no.3, pp.645-647, 2004.

5. [5] Z.Y. Luo and Z.K. Shi, “Wavelet neural network method for fault diagnosis of push-pull circuits,” Proc. 4th International Conference on Machine Learning and Cybernetics, pp.3327-3332, 2005.

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