韦家富,强文渊,刘友波,刘向龙.CVT故障快速辨识的实用化方法[J].电测与仪表,2019,56(12):20-25. Wei Jiafu,Qiang Wenyuan,Liu Youbo,刘向龙.Partical method of fast identification on fault of CVT[J].Electrical Measurement & Instrumentation,2019,56(12):20-25.
CVT故障快速辨识的实用化方法
Partical method of fast identification on fault of CVT
The increase in the failure rate of CVT has impacted on equipment monitoring and accident repair work seriously. Based on the CVT online monitoring data, we proposed a wavelet practical method for quickly identifying the abnormality of CVT which solved the problems of large data acquisition and slow identification in traditional algorithms. Firstly, we used wavelet multi-resolution analysis to denoise voltage data,and proposed the selection rules of denoising threshold function in combination with the characteristics of CVT operation. Next, used the modular maxima method to evaluate each wavelet basis function under the breakdown of CVT. Then extracted the abnormal waveform of CVT signal and determined the position information when the abnormality occurred using wavelet tri-scale reconstruction method. The results of the example showed the effectiveness and feasibility of this method.
