Method and system for identifying insulation defects of equipment based on multi-sensor signal features

Abstract

The invention discloses a device insulation defect identification method based on multi-sensor signal characteristics, comprising the steps of (1) obtaining a device model having insulation defect; (2) respectively collecting the partial discharging signal samples of the device model based on at least two sensors; (3) respectively extracting the characteristic parameter samples of the partial discharging signal samples; (4) establishing a device insulation defect identification model; (5) training the device insulation defect identification model based on the characteristic parameter samples;(6) Respectively collecting at least two partial discharging signals of the device waiting for the insulation defect identification based on at least two sensors; (7) respectively extracting the characteristic parameters of the partial discharging signals; (8) determining the insulation defect type of the device waiting for the insulation defect identification based on the characteristic parameters and the trained device insulation defect identification model. In addition, the invention also discloses a corresponding system. The invention is advantageous in that the intelligent identificationof the device insulation defect can be realized, and the insulation defect type can be accurately determined.

Description

technical field [0001] The invention relates to the field of electric equipment monitoring, in particular to a method and system for identifying insulation defects of equipment. Background technique [0002] GIS (Gas Insulated Combined Electrical Appliance) seals switches, surge arresters, transformers, busbars, bushings and other components in a grounded metal cavity, separates the cavity through epoxy resin insulators, and fills it with SF 6 As an insulating medium, its design structure is equivalent to a switch station. GIS equipment has the characteristics of small footprint, reliable operation, compact structure, etc., and has been widely used in the current power system. However, in the process of GIS being widely used, it also brings some new problems: once the running GIS breaks down, its maintenance is more difficult, and even cause large-scale power outages, resulting in huge economic losses. [0003] An in-depth analysis of the causes of various accidents in GIS...

AI Technical Summary

Problems solved by technology

However, in the process of GIS being widely used, some new problems have also been brought: once the GIS in operation fails, its maintenance is more difficult, and even large-scale power outages are caused, resulting in huge economic losses.

Traditional partial discharge signals based on single sensor sampling have low accuracy in identifying insulation defects in GIS

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