Research on Intelligent Diagnosis Method of Faulty Components in Industrial Power System Based on Recorded Wave Data
Fuzzy C-mean clustering algorithm is used to extract various industrial power system fault characteristics from the recorded waveform data,such as voltage and current phase characteristics,wavelet coefficient ratio characteristics and fault component characteristics.Through the clustering analysis,the fault expectation value of the transmission component is calculated,and if the calculated result exceeds the threshold value,the component is determined to be faulty.Simulation results show that the diagnostic method established in this work can effectively detect faulty components in industrial power systems.
recorded wave datapower systemfaulty componentsintelligent diagnostic methods
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