Application of sample entropy improved EEMD algorithm in relay parameter outlier processing
A modal outlier processing model is proposed for the problem of outliers existing in relay parameters.Firstly,the parameters in the ensemble empirical mode decomposition(EEMD)algorithm are analyzed for sensitivity based on the characteristics of the relay,and the optimization parameters are determined.Secondly,aiming at the modal aliasing phenomenon in EEMD decomposition,the sample entropy and Harris Hawks optimization are used to obtain effective modal components.Finally,the pauta criterion and cubic spline interpolation method are respectively used to identify and replace the abnormal data in each modal.All the processed components are reconstructed with outliers,and the processed data series are obtained.The case analysis results of the relay contact voltage drop parameter show that the model has good generalization ability and can effectively identify potential outliers.
万方数据
维普
