Automatic Detection Method for High-Voltage Cable Fault Based on Machine Vision
The existing methods are easily affected by changes in graphic feature parameters,and the correlation coefficients of the detected fault IMF components are inconsistent with the actual coefficients.To solve this problem,a new automatic detection method for high-voltage cable faults is designed based on machine vision.This method utilizes machine vision to generate an automatic detection center for high-voltage cable faults,extracts feature parameters for automatic detection of high-voltage cable faults,and thus completes automatic detection of high-voltage cable faults.The results show that the correlation coefficient of the IMF component detected by the design method fits well with the actual situation,and the accuracy of automatic fault detection is higher than 94.1%,proving that the design method has good detection effect and high accuracy.
NETL
NSTL
万方数据
