A method based on TSS-DTW for AC contactor state classification
To address the problem of difficulties in accurately classifying the state of an AC contactor caused by the characteristics of nonlinearity,nonsmoothness,multi-state dependence and dynamic distribution,a state classification method based on TSS-DTW for AC contactors was proposed.It was explored to use the slope incremental piecewise linear representation method for the extraction of segmentation points and complete the timeseries segmentation of the state sequence.On this basis,by using the dynamic time warping similarity metric of neighboring subsequences,the DTW similarity set of key segmentation points was formed,and the key segmentation points were identified and selected,so as to realize the accurate classification of AC contactor states eventually.It is proved that the as-proposed method can realize the state classification of AC contactors,the classification boundary is clear,and the difference between classes is significant,thus the superiority of the state classification accuracy is obvious.
AC contactorstate classificationtime series segmentationdynamic time warpingpiecewise linear representationslope incrementsimilarity metricKruskal-Wallis test
万方数据
维普
