VMD and CNN-based cable early fault identification and classification method

Abstract

The invention discloses a VMD and CNN-based cable early fault identification and classification method. The method comprises the following steps: step 1, obtaining a to-be-tested analog signal; step 2, selecting a bandwidth limiting factor alpha, a noise tolerance tau and a mode decomposition number K as parameters, and setting parameter values; step 3, performing variational mode decomposition onvarious analog signals, obtaining each mode and the center frequency thereof, and realizing frequency band division; step 4, extracting decomposition modal features and constructing feature vectors;step 5, inputting various signal feature vectors into the convolutional neural network, carrying out parameter modulation training and obtaining a classification result. By using the method, early faults and over-current disturbance of the cable can be accurately distinguished, cable maintenance is completed in time before the early faults become permanent faults, and stable operation of a power grid is maintained.

Description

technical field [0001] The invention relates to the technical field of cable early fault identification, in particular a method for identifying and classifying early cable faults based on VMD and CNN. Background technique [0002] As the main equipment for power system information transmission, the fault development process of cables is usually divided into three stages: partial discharge period, early failure period and permanent failure period. During the use of the cable, due to the defect, corrosion or aging of the insulation layer, a series of partial discharge pulses first appear, forming electric trees or water trees, and with further deterioration, it will evolve into early failures accompanied by arcing ; Early failures recur after first occurrence until they become irreversible and permanent. The occurrence of early cable faults is uncertain, and the current is very small when the fault occurs, so it is not enough to cause the safety protection of the traditional ...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that early cable faults and overcurrent disturbances cannot be accurately distinguished and identified, and provides a method for identifying and classifying early cable faults based on VMD and CNN. By using this method, early cable faults and overcurrent disturbances can be accurately identified Differentiate and complete cable repairs in time before early faults become permanent faults to maintain stable operation of the power grid

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