Selection of wavelet for de-noising PD waveforms for prognostics and diagnostics of aircraft wiring

Chintan Desai, Keith Edgar Brown, Marc Phillipe Yves Desmulliez, Alistair Sutherland

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

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. © 2008 IEEE.

Original languageEnglish
Title of host publication2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2008
PublisherIEEE
Pages17-20
Number of pages4
ISBN (Electronic)9781424425495
ISBN (Print)9781424425488
DOIs
Publication statusPublished - 2008
Event2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena - Quebec City, QC, Canada
Duration: 26 Oct 200829 Oct 2008

Conference

Conference2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena
Abbreviated titleCEIDP 2008
CountryCanada
CityQuebec City, QC
Period26/10/0829/10/08

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  • Cite this

    Desai, C., Brown, K. E., Desmulliez, M. P. Y., & Sutherland, A. (2008). Selection of wavelet for de-noising PD waveforms for prognostics and diagnostics of aircraft wiring. In 2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2008 (pp. 17-20). IEEE. https://doi.org/10.1109/CEIDP.2008.4772786