Texture-based insulator fault diagnostic method

Abstract

The invention relates to a texture-based insulator fault diagnostic method. According to the invention, a visible light image collected in the inspection process of a high voltage transmission line by a helicopter is used as an object to be processed, and the diagnosis can be carried out based on an insulator fault of the visible light image. The method comprises the following steps of: inputting an insulator image, carrying out gray processing, obtaining a bounding rectangle and rotating, carrying out a GLCM (gray level co occurrence matrix) method, blocking, obtaining textural features, carrying out Gabor filtering, blocking, calculating block-mean value and variance, performing feature fusion, and determining whether to have a string-drop phenomenon based on a threshold value. The method provided by the invention diagnoses the insulator string-drop characteristic by texture, integrates the thoughts of the most classical GLCM texture diagnostic method in the texture diagnosis and the recent research focus Gabor filter texture diagnosis, adjusts the parameter settings of the GLCM and the Gabor filter and efficiently and accurately finds out the string-drop insulators. The method can effectively improve the efficiency of the thermal defect detection of the power transmission line and can be effectively applied to the inspection business of the vehicle-mounted or helicopter power transmission line.

Description

technical field [0001] The invention takes the visible light image collected during the inspection of the high-voltage transmission line by the helicopter as the processing target, and studies the diagnosis method of the self-explosion defect of the insulator based on the visible light image. By analyzing the characteristics of insulator self-explosion defects from images, a texture-based insulator defect diagnosis method is proposed. The invention is an airborne real-time insulator identification and diagnosis system, which diagnoses self-explosion defects of glass insulators based on the identification of insulators. Since the main characteristic of the self-explosion defect is the insulator string drop, this method adopts a unified string drop to describe the self-explosion defect. Background technique [0002] High-voltage transmission lines are the arteries of the power system, and their operating status directly determines the safety of the power system and the operat...

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Problems solved by technology

[0011] At present, there is no good method for diagnosing insulator string drop defects. It is very difficult to detect insulator string drop under visible light. The present invention detects insulator string drop defects based on texture diagnosis, a commonly used method in defect diagnosis. , using Gabor wavelet and GLCM (gray level co-occurrence matrix) fusion method to detect

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