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

doi:10.1117/12.681925

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

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Advanced Signal Processing Algorithms, Architectures, and Implementations XVI
DOIs	https://doi.org/10.1117/12.681925
Publication status	Published - 2006
Event	Advanced Signal Processing Algorithms, Architectures, and Implementations XVI - San Diego, CA, United States Duration: 2006 Aug 15 → 2006 Aug 16

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	6313
ISSN (Print)	0277-786X

Other

Other	Advanced Signal Processing Algorithms, Architectures, and Implementations XVI
Country	United States
City	San Diego, CA
Period	06/8/15 → 06/8/16

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1117/12.681925

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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

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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.",

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doi = "10.1117/12.681925",

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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 proceeding › Conference contribution

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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.

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