3Hell M B, Angelo M F S V D, Fonseea G I B, et al. A adaptive neuro-fuzzy inference system based on dissolved gas analysis for faults diagnosis in power transformers [ A ].Proceeding of the 2002 International Conference on Control and Automation[C]. Xiamen:IEEE, 2002.2160 - 2164.
4Jang S R, Sun C T, Mizutarfi E. Neuro-fuzzy and soft computing: a computional approach to learning and machine intelligence [ M ]. Upper Saddle River: Prentice Hall. 1997. 238 - 241.
5Sugeno M,Kang G T. Structure identification of fuzzy model[J]. Fuzzy Sets and Systems, 1988,28:15 - 33.
6Zhang H G, Quan Y B. Modeling identification and control of a class of nonlinear system [ J ]. IEEE Trans on Fuzzy Systems, 2001,9(2) :349 - 354.
7Jhy-Shing R, Jang. Antis: adaptive-network based fuzzy inference system[J]. IEEE Tram on Systems, Man and Cybernetics, 1993,23(3) :665 - 685.
8Daubeehies I. Where do wavelets come from? --a personal of view[J]. IEEE Proc, 1996,84(5) :510 - 513.
9Mallat S. Singularity detection and processing with wavelets[J]. IEEE Tram on IT, 1992,38(2):617-643.
10Zhang H Y. Sensor fault diagnosis for systems with unknown nonlinearity using neural network based nonlinear observers[A]. Proceedings UKACC International Conference on CONTROL'98[C]. Swansea: IEE, 1998,455(2):981 -986.
