Cable insulation defect diagnosis based on harmonic characteristic label

The current harmonic method combines the harmonic analysis and the current method, which can analyze the cable insulation status on the basis of non-stop operation. It has great significance of accurately analyze the cable insulation status. This paper describes the traditional and unitary problems of harmonic method of cable insulation defects. Therefore, a diagnosis method based on current harmonic characteristic label of cable insulation defects is proposed. We first build a harmonic characteristic database of cable insulation defects, then extract current harmonic feature tags, finally combine the harmonic features with big data technology to classify the types of cable insulation defects through the random forest algorithm. The method was effectively and accurately realized the integration of cable insulation defects detection and diagnosis, and improves accuracy effectively in cable insulation state prediction. The scheme ensures the continuous and stable operation of the power system.