High-voltage insulation fault diagnosis method based on heterogenous image temperature rise and partial discharge characteristics

Abstract

The invention relates to a high-voltage insulation fault diagnosis method based on heterogenous image temperature rise and partial discharge characteristics. The high-voltage insulation fault diagnosis method based on heterogenous image temperature rise and partial discharge characteristics includes the steps: extracting the contour of an infrared image and the contour of an ultraviolet image; performing image registering based on the contour information to obtain the optimal affine transformation parameter; by means of the optimal affine transformation parameter, performing ultraviolet imagetransformation, extracting the ultraviolet spot contour diagram and the ultraviolet gray level image of the ultraviolet image after transformation, and performing fusion of the infrared image and theultraviolet image; and extracting the greatest temperature rise and the partial discharge characteristics from the fused image, and at the same time constructing a fuzzy logical reasoning system to perform external insulation fault diagnosis. Compared with the prior art, the high-voltage insulation fault diagnosis method based on heterogenous image temperature rise and partial discharge characteristics has the advantages of reducing the information redundancy, being more visual in the images, improving the detection accuracy, being stable in the algorithm, being high in the information reservation degree, being high in the applicability and the like.

Description

technical field [0001] The invention relates to electrical equipment fault detection and diagnosis, in particular to a high-voltage insulation fault diagnosis method based on heterogeneous image temperature rise and partial discharge characteristics. Background technique [0002] The reliability of electrical equipment is an important factor affecting the economical, safe and stable operation of power systems. External insulation faults have always accounted for a high proportion of my country's power grid equipment faults, including faults caused by external insulation pollution, aging, defects, foreign objects and other defects. External insulation faults have the characteristics of difficult reclosing and long power outages, which not only cause huge economic losses, but also have adverse effects on people's lives and social stability. [0003] In the field of fault detection and diagnosis of external insulation equipment, non-contact detection methods such as infrared i...

AI Technical Summary

Problems solved by technology

However, because a single detection system only makes inferences based on one-sided parameter information, it often leads to misdiagnosis and missed diagnosis of external insulation faults.

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