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论文类型： 会议论文

发表时间： 2004-08-19

收录刊物： EI

卷号： 3174

页面范围： 607-612

摘要： It is well known that the time-varying parametric model based on wavelet neural network has excellent performance on modeling a signal. The spark discharge signal is a typical nonstationary one. The spark discharge has two types in a static dust catcher. one is normal discharge, another is antielectric-corona discharge. A few simulations indicate that the performance of the TVAR model on modeling a discharge signal is fineness, especially, on distinguishing between normal discharge and anti-electric-corona discharge. © Springer-Verlag Berlin Heidelberg 2004. All rights reserved.