Method for recognizing typical defect local discharge signals of power cable

Abstract

The invention discloses a method for recognizing typical defect local discharge signals of a power cable. The method includes the steps that local discharge data of a known type is acquired, characteristic parameters are extracted as input parameters, a discharge type label is set for each discharge type characteristic, and the discharge type labels are stored in an information library recognizedby the local discharge types; a neutral network model for recognizing the discharge types is built, the weight and the threshold value of the neutral network model are corrected through a bee colony algorithm, optimum model parameters of the input weight, the hidden layer threshold value and the output weight are acquired, and the optimum model parameters are saved; the local discharge signals ofthe to-be-recognized power cable are acquired based on the optimum model parameters, discharge pulse characteristic parameters are extracted, the to-be-recognized discharge characteristic parameters are input in the built neutral network model, recognition is carried out, and the discharge types are obtained. By means of the artificial bee colony algorithm, the weight and the threshold value of anextreme learning machine are optimized, the output weight is calculated through the obtained optimum weight and the obtained optimum threshold value, and the generalization capacity and the recognition precision of the extreme learning machine are improved.

Description

technical field [0001] The present disclosure relates to the technical field of signal processing, in particular to a method and system for identifying partial discharge signals of typical defects in power cables. Background technique [0002] With the continuous economic growth and the rapid development of urban power grids, the number of cable lines put into operation is increasing rapidly. The operation status of the cable directly affects the safety of the power system. Among the many cable monitoring methods, the partial discharge test can more intuitively and effectively reflect the defects that affect the cable life and safe operation. Partial discharge, as the main form of early insulation failure of high-voltage cable lines, is not only the main cause of insulation aging, but also the main characteristic parameter representing the insulation condition, which is of great significance to the fault diagnosis of power equipment. Partial discharge is a common electrica...

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Problems solved by technology

In addition, in terms of constructing the classifier model, this document uses BP neural network, extreme learning machine and support vector machine to identify the feature quantity respectively, but in practical application, it is not practical and can only be used as a means of verification in the previous work. In practical applications, the three cla

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