Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2004-08-19

Included Journals: EI

Volume: 3174

Page Number: 607-612

Abstract: 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.