Paper
5 September 2006 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
Author Affiliations +
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Philip Crapse, Jing-Jiang Wang, Yong-June Shin, and Roger Dougal "Analysis of transient signatures of arc faults in power distribution systems via time-frequency analysis", Proc. SPIE 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI, 63130U (5 September 2006); https://doi.org/10.1117/12.681925
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Time-frequency analysis

Signal processing

Systems modeling

Digital signal processing

Electrical breakdown

Modeling and simulation

Phase shifts

Back to Top