High-voltage power cable fault recognition method

Abstract

The invention discloses a high-voltage power cable fault recognition method, and the method comprises three processes: signal combining collection, signal comprehensive processing, and fault intelligent recognition. The process of signal combining collection comprises the steps: collecting electromagnetic transient states and electromagnetic waves through employing a UHF ultrahigh frequency sensor, collecting supersonic signals through employing a piezoelectric-type AE supersonic sensor, collecting ground waves through employing a TEV ground wave sensor, and collecting a transient magnetic field through employing an HFCT high-frequency current sensor. The process of signal comprehensive processing comprises the steps: extracting a plurality of statistical feature parameters representing discharging intensity from partial discharge broadband time domain data, extracting various types of feature parameters of partial discharge caused by a cable fault, and constructing a partial discharge fingerprint feature library corresponding to various types of defects. The process of fault intelligent recognition comprises the steps: enabling the extracted time domain feature parameters to be inputted into two types of intelligent recognition algorithms in batches for automatic matching and recognition, carrying out constant comparison and gathering of the recognition results of the two algorithms, and determining the type and size of the fault. The method is safe in detection, is quick and accurate in fault recognition, and can be integrated.

Description

technical field [0001] The invention relates to the field of high-voltage power cable fault detection, in particular to a high-voltage power cable fault identification method. Background technique [0002] In recent years, with the widespread application of high-voltage power cables in urban distribution networks, the impact and loss of power cables and their accessories on the entire distribution network have become more and more significant. According to statistics, in the operation accidents of urban power grids, the power accidents caused by the faults of high-voltage power cables and their accessories are as high as 75%. At present, there are many methods for analyzing and identifying faults of high-voltage power cables and their accessories at home and abroad, but most of the analysis and identification methods cannot be completed directly on site, and the efficiency is low, resulting in continuous losses. In addition, the current fault identification method can only ...

AI Technical Summary

Problems solved by technology

The disadvantage is that this method is only applicable to the case where there is a grounding wire on the outer shielding layer of the cable. For a cable with a complete shielding, it is difficult to detect the partial discharge signal when the coil is placed outside the cable body. The detection and analysis of partial discharge signals and the identification of fault types are difficult to achieve the expected results

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