Sleeve fault diagnosis method and system

Through preprocessing and segmentation technology of infrared images, combined with grayscale-temperature matrix analysis, the problem of low efficiency of bushing fault diagnosis in the existing technology is solved, and efficient identification and positioning of transformer bushing faults is achieved, supporting complex backgrounds. Failure analysis below.

CN111179213AInactive Publication Date: 2020-05-19STATE GRID JIANGSU ELECTRIC POWER CO LTD RESEARCH INSTITUTE +4
2 Cites 4 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE GRID JIANGSU ELECTRIC POWER CO LTD RESEARCH INSTITUTE
Filing Date
2019-11-28
Publication Date
2020-05-19
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

It is difficult for existing technologies to effectively identify and diagnose transformer bushing faults in complex backgrounds. In particular, relying on manual infrared image analysis is inefficient and cannot meet the needs of massive image analysis.

Method used

By preprocessing the collected infrared images, including K-means clustering and noise removal, the SLIC and OTSU algorithms are used to segment the image, extract a single casing image, and determine the faulty casing and fault type through the grayscale-temperature matrix.

Benefits of technology

It realizes the identification and location of single casing faults in complex infrared images, improves diagnosis efficiency, reduces dependence on technicians, and supports horizontal and vertical statistical analysis.

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Abstract

The invention discloses a sleeve fault diagnosis method and system. The method comprises the following steps: preprocessing an acquired sleeve infrared image to filter out a non-heating part; segmenting the image of which the non-heating part is filtered out to obtain a single sleeve image; diagnosing the sleeve fault according to the segmented single sleeve image. According to the invention, theinfrared image of the transformer sleeve is preprocessed and segmented, therefore, an infrared image of a single sleeve is obtained; the temperature of each part of the sleeve can be conveniently obtained by converting the gray scale of each pixel in the gray scale map of the infrared image of the single sleeve into the corresponding temperature value, the method is simple but very ingenious, thefaulted sleeve and the faulted area can be quickly positioned, the specific fault type can be judged, and convenience and quickness are achieved.
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Citation Information

Patent Citations

  • Superpixel-based electric transmission and transformation equipment infrared fault image segmentation method

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  • Power cable heat fault diagnosing method based on infrared image clustering and processing

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