Combination wavelets and artificial intelligent for classification and detection transient overvoltage

S.R. Shah Baki1, M.Z. Abdullah1, A.F. Abidin1
1University Technology Mara, Shah Alam, Selangor Darul Ehsan, Malaysia

Tóm tắt

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.

Từ khóa

#Artificial intelligence #Power system transients #Voltage #Power quality #Fuzzy logic #Lightning #MATLAB #Real time systems #Monitoring #Transient analysis

Tài liệu tham khảo

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