Fault analysis detection method for cable accessory

Abstract

The invention discloses a fault analysis detection method for cable accessories. The method includes the steps of collecting a partial discharge signal generated when a cable accessory malfunctions; carrying out filtering and frequency division for the partial discharge signal; performing conversion analysis through HHT transformation; extracting a partial discharge fault characteristic signal on the basis of an analysis result, and establishing a partial discharge fault characteristic database; identifying data information of the partial discharge fault characteristic database, and establishing a corresponding relation between a fault characteristic and a fault type and degree; and obtaining a fault identification result. The method is capable of detecting whether partial discharge of a cable accessory occurs, and also determining and identifying the fault defect type and degree through analysis of acquired signals. An analysis result provided by the method is comprehensive in data and is improved. High systematicness is exhibited, the cable accessory fault analysis detection efficiency is increased, faults can be quickly removed, and losses caused by the faults are minimized.

Description

technical field [0001] The invention relates to the technical field of cable accessory fault detection, in particular to a cable accessory fault analysis and detection method. Background technique [0002] With the wide application of cross-linked polyethylene (XLPE) power cables in power systems, the faults of XLPE cable running systems are becoming more and more significant. According to statistics, among the XLPE power cable operation accidents, the accidents caused by the failure of the cable accessories are as high as 75%. The cable accessories have become the weak link in the operation of the power system, so the detection and analysis of the failure of the cable accessories is particularly important. At present, there are many methods for fault analysis and detection of cable accessories at home and abroad, but most of the fault analysis and detection cannot be completed directly at the fault site, and the efficiency is low, resulting in continuous losses. In additio...

AI Technical Summary

Problems solved by technology

At present, there are many methods for fault analysis and detection of cable accessories at home and abroad, but most of the fault analysis and detection cannot be completed directly at the fault site, and the efficiency is low, resulting in continuous losses.

In addition, the current fault detection method can only detect whether there is a defect, but cannot realize the judgment of the type and size of the fault defect, the evaluation of the aging state of the cable accessories, and the estimation of the remaining life of the cable accessories, so it is impossible to propose a correct repair plan

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