Research on Monitoring of Tunnel Cable Insulation Layer Based on Terahertz Wave Clustering Analysis

Abstract

Internal defect of cable is seriously endangering the operation of power grid. To detect the defect in time, a THz(terahertz) detection method combined with clustering algorithm was proposed in this paper. To extract feature from the original waves, frequency domain features and PCA were obtained. Further, the correlation of a feature in different sample sets was analyzed through Mann-Whitney U test. According to effect of clustering, features filtered by Mann-Whitney U test show good classification performance. Based on the clustering method of terahertz wave, the inner defective and normal conditions of cable insulation can be classified quickly and accurately.