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《Electric Power Automation Equipment》 2008-05
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Power system transient signal analysis based on AOK TFR

JIN Guobin,LI Ling,HUANG Shaoping,LI Jing (Hunan Institute of Engineering,Xiangtan 411104,China)  
An analysis method of power system transient signals based on AOK TFR(Adaptive Optimal Kernel Time-Frequency Representation) is proposed,which seeks the fuzzy function of signals,uses adaptive optimal Gauss kernel to restrain the cross-components in fuzzy domain,carries out two-dimension FFT(Fast Fourier Transform) to obtain the time-frequency distribution of auto-components,and then extracts the ridges from it. The single-phase winding open-weld fault of induction motor and the transformer fault are simulated as examples. Results show that,it has better time-frequency aggregation capability,adaptability and anti-noise ability,not influenced by cross-terms and suitable for the analysis of multi-component,time-varying signals. Time-frequency resolution is improved by ridges extraction.
【Fund】: 湖南省自然科学资助项目(07JJ6079)~~
【CateGory Index】: TM711
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