An electromagnetic coil fault detection system and method based on image analysis

By using image analysis to obtain visible light images of the surface of an electromagnetic coil, segmenting the thermochromic region and performing anisotropic diffusion analysis, and combining the winding space topology model, the problem of identifying the location of thermal faults in electromagnetic coils was solved, and high-precision fault location was achieved.

CN122453754APending Publication Date: 2026-07-24AMISCO AUTOMATION COMPONENTS (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
AMISCO AUTOMATION COMPONENTS (SHENZHEN) CO LTD
Filing Date
2026-04-28
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing technologies cannot effectively identify the location of thermal faults under the influence of anisotropy in electromagnetic coil windings. Traditional methods cannot distinguish whether the irregular shape of hot spots originates from heat source characteristics or is an artifact formed by the distortion of the winding's heat conduction path.

Method used

By acquiring visible light images of the surface of the electromagnetic coil, segmenting the thermochromic region, extracting the edge contour and calculating the normal direction, and combining the winding conduction direction to perform anisotropic diffusion analysis, multiple diffusion state images are generated. The location of potential heat source faults is then identified by combining the winding spatial topology model.

Benefits of technology

This method enables accurate location of thermal faults under the influence of anisotropy in electromagnetic coil windings, improving the accuracy and precision of fault identification and avoiding feature distortion associated with traditional methods.

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Abstract

The application provides an electromagnetic coil fault detection system and method based on image analysis. The system obtains a visible light image of the surface of a target electromagnetic coil during operation and segments an initial hot spot area. The system calculates the normal direction of each contour point on the edge contour of the initial hot spot area, performs anisotropic diffusion analysis on the initial hot spot area based on the normal direction of each contour point and the dominant conduction direction of the winding of the target electromagnetic coil on the image plane, and generates a plurality of diffusion state images formed by heat conduction to the surface of the electromagnetic coil. The system performs multi-scale matching of each diffusion state image and the morphological features of the initial hot spot area, selects a target diffusion state image, and identifies the spatial position of a potential heat source fault in the initial hot spot area based on the target diffusion state image and the winding spatial topology model of the target electromagnetic coil. The technical solution provided by the application can identify the thermal fault position of the electromagnetic coil under the anisotropic influence of the winding of the electromagnetic coil.
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