Selection of Wavelet for De-noising PD waveforms for Prognostics and Diagnostics of Aircraft Wiring

Abstract

Electrical wiring and interconnected systems (EWIS) have become a major area of research and development for variety of industries. A variety of factors lead to catastrophic failure described. Here partial discharge (PD) analysis methods for diagnosing aircraft wiring faults are explored since PD signals are strongly correlated with the defects that produce them and form an ideal part for prognostic and diagnostic test system. A simulation of PD signal based on high-voltage insulation testing standard is detailed. Wavelet based (time-frequency) analysis is shown to be a good approach to de-noise PD signals. Leading to an overall set of conclusions and on-going work.