DocumentCode :
2007060
Title :
Automated analysis of voltage and current waveforms during faults
Author :
Fan, Wen ; Liao, Yuan
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Kentucky, Lexington, KY, USA
fYear :
2012
fDate :
11-13 March 2012
Firstpage :
214
Lastpage :
219
Abstract :
Automated fault analysis becomes increasingly desirable because an increasing volume of fault data have been captured by various types of recording devices in power systems. This paper presents developments on algorithms and software related to automated fault analysis. Our analysis is based on voltage and current waveforms. We have developed algorithms to effectively identify the fault types, fault starting time, and fault duration, which are capable of handling faults with evolving fault types. The software module that implements the algorithms is delineated. Sample analysis results based on field data are reported.
Keywords :
fault currents; fault diagnosis; feature extraction; power engineering computing; power system faults; waveform analysis; aample analysis; automated current waveform analysis; automated fault analysis; automated voltage waveform analysis; automatic distinctive feature extraction; fault data; fault duration; fault handling; fault starting time; fault type evolution; fault type identification; power system; recording devices; software module; Algorithm design and analysis; Application software; Circuit faults; Classification algorithms; Integrated circuits; Software algorithms; Threshold voltage; Fault analysis; Fault type classification; superimposed component; voltage and current waveform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory (SSST), 2012 44th Southeastern Symposium on
Conference_Location :
Jacksonville, FL
ISSN :
0094-2898
Print_ISBN :
978-1-4577-1492-4
Type :
conf
DOI :
10.1109/SSST.2012.6195144
Filename :
6195144
Link To Document :
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