Deep Mining of Characteristic Variables of Abnormal Sound of Faulty Generators Using Wavelet Window
In order to detect operational status of synchronous motors in mines'auxiliary power plants,a method to deter-mine operational status of synchronous motors was proposed and studied.According to the different sound signals genera-ted by the motor under different status,the MATLAB powerful programming function was used to filter the sound sig-nals.Then the parameter characteristics of sound signals were obtained using wavelet analysis,and finally the motor oper-ation status was determined by comparing the obtained parameters.It was concluded from the experiment that the use of MATLAB analysis could obtain synchronous motor sound parameters with large difference between normal status and sub-normal status.The proposed method thereby can facilitate accurate determination of motor operational status and real-ization of better control of synchronous motors,exhibiting potential practical applicability.
万方数据
维普
