A TVAR Parametric Model Applying for Detecting Anti-electric-Corona Discharge

نویسندگان

  • Zhe Chen
  • Hongyu Wang
  • Tianshuang Qiu
چکیده

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.

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تاریخ انتشار 2004