Cable Partial Discharge Detection Based on Wavelet Denoising and LSSVM
In order to improve the accuracy of cable partial discharge detection,this paper proposes a cable partial discharge detection method based on wavelet denoising and LSSVM.Using wavelet transform to remove noise from cable partial discharge signals,singular value spectrum is used to extract cable partial discharge features,and the extracted results are used as support vectors for LSSVM.Based on this,an LSSVM classifier for partial dis-charge is established.The simulation analysis using actual examples shows that the detection results of the cable partial discharge detection method proposed in this paper only show two errors,with a detection accuracy of 95%.The detection effect is better than other methods,verifying the correctness and effectiveness of the proposed method.
cablepartial dischargedetectionwavelet transformleast squares support vector machine
万方数据
维普
