K-means Clustering-based Method for Dual-end Location of Online Partial Discharge of Underground Cables
Conventional methods of locating cable partial discharge mainly rely on reflection signal recognition and ranging,with relatively large time synchronization deviation,which affects overall location accuracy.Therefore an under-ground cable dual-end online partial discharge location method based on K-Means clustering algorithm was designed.By extracting characteristics of traveling wave modulus at both ends of the cable,the method performed phase mode transfor-mation of partial discharge signal and analyzes the corresponding charge air gap balance conditions,thereby obtaining a more accurate dual-end partial discharge location.Based on the K-Means algorithm,a clustering center for online partial discharge was constructed,and cables with similar spatial distances were used for partial discharge judgment to eliminate influences of ranging data anomalies and reduce deviations of results.The proposed method was proved by comparative ex-periment highly accurate and practically applicable.
NETL
NSTL
万方数据
维普
