Analysis of transient signatures of arc faults in power distribution systems via time-frequency analysis

Philip Crapse, Jing Jiang Wang, Yong June Shin, Roger Dougal

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

Abstract

This paper draws on an innovative, signal processing-based method that jointly analyzes the time and frequency domains and uses that information to characterize and distinguish the deadly arc faults from the normal operational faults. This paper introduces a variety of new power quality assessment tools developed with the purpose of both detecting an arc fault faster than has yet been done and distinguishing the arc fault from other normal load operations via time-localized spectral characterization. Based on the time and frequency localization of the arc faults, the time varying impedances of the arc fault are modeled in terms of harmonic sources. The accomplishment of these objectives would lead to new, advanced smart arc fault circuit breakers and the modeling & simulation of arc fault phenomena.

Original languageEnglish
Title of host publicationAdvanced Signal Processing Algorithms, Architectures, and Implementations XVI
DOIs
Publication statusPublished - 2006 Nov 9
EventAdvanced Signal Processing Algorithms, Architectures, and Implementations XVI - San Diego, CA, United States
Duration: 2006 Aug 152006 Aug 16

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6313
ISSN (Print)0277-786X

Other

OtherAdvanced Signal Processing Algorithms, Architectures, and Implementations XVI
CountryUnited States
CitySan Diego, CA
Period06/8/1506/8/16

Fingerprint

Time-frequency Analysis
Power Distribution
Information use
Electric circuit breakers
Distribution System
Power quality
Systems Analysis
Power System
Signal processing
Arc of a curve
Fault
Signature
arcs
signatures
circuit breakers
Power Quality
Quality Assessment
signal processing
Impedance
Frequency Domain

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Crapse, P., Wang, J. J., Shin, Y. J., & Dougal, R. (2006). Analysis of transient signatures of arc faults in power distribution systems via time-frequency analysis. In Advanced Signal Processing Algorithms, Architectures, and Implementations XVI [63130U] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6313). https://doi.org/10.1117/12.681925
Crapse, Philip ; Wang, Jing Jiang ; Shin, Yong June ; Dougal, Roger. / Analysis of transient signatures of arc faults in power distribution systems via time-frequency analysis. Advanced Signal Processing Algorithms, Architectures, and Implementations XVI. 2006. (Proceedings of SPIE - The International Society for Optical Engineering).
@inproceedings{bbf8cd1c2e014d01af0c7302b5c734dc,
title = "Analysis of transient signatures of arc faults in power distribution systems via time-frequency analysis",
abstract = "This paper draws on an innovative, signal processing-based method that jointly analyzes the time and frequency domains and uses that information to characterize and distinguish the deadly arc faults from the normal operational faults. This paper introduces a variety of new power quality assessment tools developed with the purpose of both detecting an arc fault faster than has yet been done and distinguishing the arc fault from other normal load operations via time-localized spectral characterization. Based on the time and frequency localization of the arc faults, the time varying impedances of the arc fault are modeled in terms of harmonic sources. The accomplishment of these objectives would lead to new, advanced smart arc fault circuit breakers and the modeling & simulation of arc fault phenomena.",
author = "Philip Crapse and Wang, {Jing Jiang} and Shin, {Yong June} and Roger Dougal",
year = "2006",
month = "11",
day = "9",
doi = "10.1117/12.681925",
language = "English",
isbn = "0819463922",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Advanced Signal Processing Algorithms, Architectures, and Implementations XVI",

}

Crapse, P, Wang, JJ, Shin, YJ & Dougal, R 2006, Analysis of transient signatures of arc faults in power distribution systems via time-frequency analysis. in Advanced Signal Processing Algorithms, Architectures, and Implementations XVI., 63130U, Proceedings of SPIE - The International Society for Optical Engineering, vol. 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI, San Diego, CA, United States, 06/8/15. https://doi.org/10.1117/12.681925

Analysis of transient signatures of arc faults in power distribution systems via time-frequency analysis. / Crapse, Philip; Wang, Jing Jiang; Shin, Yong June; Dougal, Roger.

Advanced Signal Processing Algorithms, Architectures, and Implementations XVI. 2006. 63130U (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6313).

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

TY - GEN

T1 - Analysis of transient signatures of arc faults in power distribution systems via time-frequency analysis

AU - Crapse, Philip

AU - Wang, Jing Jiang

AU - Shin, Yong June

AU - Dougal, Roger

PY - 2006/11/9

Y1 - 2006/11/9

N2 - This paper draws on an innovative, signal processing-based method that jointly analyzes the time and frequency domains and uses that information to characterize and distinguish the deadly arc faults from the normal operational faults. This paper introduces a variety of new power quality assessment tools developed with the purpose of both detecting an arc fault faster than has yet been done and distinguishing the arc fault from other normal load operations via time-localized spectral characterization. Based on the time and frequency localization of the arc faults, the time varying impedances of the arc fault are modeled in terms of harmonic sources. The accomplishment of these objectives would lead to new, advanced smart arc fault circuit breakers and the modeling & simulation of arc fault phenomena.

AB - This paper draws on an innovative, signal processing-based method that jointly analyzes the time and frequency domains and uses that information to characterize and distinguish the deadly arc faults from the normal operational faults. This paper introduces a variety of new power quality assessment tools developed with the purpose of both detecting an arc fault faster than has yet been done and distinguishing the arc fault from other normal load operations via time-localized spectral characterization. Based on the time and frequency localization of the arc faults, the time varying impedances of the arc fault are modeled in terms of harmonic sources. The accomplishment of these objectives would lead to new, advanced smart arc fault circuit breakers and the modeling & simulation of arc fault phenomena.

UR - http://www.scopus.com/inward/record.url?scp=33750590307&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33750590307&partnerID=8YFLogxK

U2 - 10.1117/12.681925

DO - 10.1117/12.681925

M3 - Conference contribution

SN - 0819463922

SN - 9780819463920

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Advanced Signal Processing Algorithms, Architectures, and Implementations XVI

ER -

Crapse P, Wang JJ, Shin YJ, Dougal R. Analysis of transient signatures of arc faults in power distribution systems via time-frequency analysis. In Advanced Signal Processing Algorithms, Architectures, and Implementations XVI. 2006. 63130U. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.681925