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.