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

doi:10.1109/CEIDP.2008.4772786

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 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 language	English
Title of host publication	2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2008
Publisher	IEEE
Pages	17-20
Number of pages	4
ISBN (Electronic)	9781424425495
ISBN (Print)	9781424425488
DOIs	https://doi.org/10.1109/CEIDP.2008.4772786
Publication status	Published - 2008
Event	2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena - Quebec City, QC, Canada Duration: 26 Oct 2008 → 29 Oct 2008

Conference

Conference	2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena
Abbreviated title	CEIDP 2008
Country/Territory	Canada
City	Quebec City, QC
Period	26/10/08 → 29/10/08

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10.1109/CEIDP.2008.4772786

Cite this

@inproceedings{ee687a8b87d94dd4a9211060b416ede2,

title = "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. {\textcopyright} 2008 IEEE.",

author = "Chintan Desai and Brown, {Keith Edgar} and Desmulliez, {Marc Phillipe Yves} and Alistair Sutherland",

note = "INSPEC Accession Number: 10429048; 2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2008 ; Conference date: 26-10-2008 Through 29-10-2008",

year = "2008",

doi = "10.1109/CEIDP.2008.4772786",

language = "English",

isbn = "9781424425488",

pages = "17--20",

booktitle = "2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2008",

publisher = "IEEE",

address = "United States",

}

Desai, C, Brown, KE , Desmulliez, MPY & 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. IEEE, pp. 17-20, 2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, Quebec City, QC, Canada, 26/10/08. https://doi.org/10.1109/CEIDP.2008.4772786

Selection of wavelet for de-noising PD waveforms for prognostics and diagnostics of aircraft wiring. / Desai, Chintan; Brown, Keith Edgar ; Desmulliez, Marc Phillipe Yves et al.
2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2008. IEEE, 2008. p. 17-20.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Selection of wavelet for de-noising PD waveforms for prognostics and diagnostics of aircraft wiring

AU - Desai, Chintan

AU - Brown, Keith Edgar

AU - Desmulliez, Marc Phillipe Yves

AU - Sutherland, Alistair

N1 - INSPEC Accession Number: 10429048

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

U2 - 10.1109/CEIDP.2008.4772786

DO - 10.1109/CEIDP.2008.4772786

M3 - Conference contribution

SN - 9781424425488

SP - 17

EP - 20

BT - 2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2008

PB - IEEE

T2 - 2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena

Y2 - 4 September 2006 through 5 September 2006

ER -

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

Abstract

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