DocumentCode
3472802
Title
Diagnosis and identification of fault waveform of power
Author
Youquan, He
Author_Institution
Dept. of Comput. & Inf., Chongqing Jiaotong Univ., Chongqing
fYear
2008
fDate
6-9 April 2008
Firstpage
1678
Lastpage
1682
Abstract
The waveform of power system´s parameter is related closely to its status, it can reflects and foresees that curtain status and fault will occur in power system. In this paper chaos and fractal theory is used to analyze parameter waveform, abstract characteristic value, build standard model library about parameter waveform, and analysis overall and evaluate property of power system. To power system´ fault waveform characteristic, A new identification algorithm -fractal dimension and average value density is proposed. This algorithm can recognize all kinds of fault waveform effectively, thus analysis result can be used faulty diagnosis and status property monitor of power system.
Keywords
chaos; fault diagnosis; power system faults; power system identification; waveform analysis; chaos; fault diagnosis; fractal theory; identification algorithm; power system fault waveform; status property monitor; Chaos; Circuit faults; Fault diagnosis; Fractals; Frequency; Power system analysis computing; Power system faults; Power system modeling; Power system transients; Pulse measurements; Chaos; fault diagnosis; fractal dimension; high frequency transient;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location
Nanjuing
Print_ISBN
978-7-900714-13-8
Electronic_ISBN
978-7-900714-13-8
Type
conf
DOI
10.1109/DRPT.2008.4523675
Filename
4523675
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