DocumentCode
2255881
Title
Combination wavelets and artificial intelligent for classification and detection transient overvoltage
Author
Baki, S. R Shah ; Abdullah, M.Z. ; Abidin, A.F.
Author_Institution
Univ. Technol. Mara, Selangor, Malaysia
fYear
2002
fDate
2002
Firstpage
177
Lastpage
180
Abstract
This paper describes a new method for classification of transient disturbance via fuzzy logic incorporated with wavelet processing. The transient is one of the major causes of power quality issues that have been experienced by the utility and consumer parties. The ability of a wavelet to detect the transient disturbance is being exposed. Finally, the fuzzy logic MATLAB is being proposed as a classification tool to differentiate between oscillatory and impulsive transient. This paper is an initial step towards auto-detecting the real-time power quality classification in a real time monitoring system.
Keywords
artificial intelligence; computerised monitoring; fuzzy logic; overvoltage; power engineering computing; power supply quality; power system measurement; power system transients; real-time systems; wavelet transforms; classification tool; fuzzy logic; fuzzy logic MATLAB; impulsive transient; oscillatory transient; power quality; real time monitoring system; transient overvoltage detection; wavelet processing; Artificial intelligence; Fuzzy logic; Lightning; MATLAB; Monitoring; Power quality; Power system transients; Real time systems; Transient analysis; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Research and Development, 2002. SCOReD 2002. Student Conference on
Print_ISBN
0-7803-7565-3
Type
conf
DOI
10.1109/SCORED.2002.1033086
Filename
1033086
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