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
Link To Document :
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