Abstract
Typical composite insulators are widely used in the electric power system, including the composite insulators for the transmission lines, the composite pillar insulators for substations and the hollow composite insulators of transformer bushing. The composite insulators have different operating environment and surface E-field distribution characteristics, so it is urgent to make reasonable evaluation of the operation status. Firstly, the typical composite insulators are observed by the ultraviolet and infrared imaging technology to form the database of electrical-thermal image. The original images are denoised by the wavelet imaging technology, and the image region of the composite insulators is segmented based on the clustering algorithm. The adaptive recognition of composite insulators and the matching of external contours are realized by visual depth learning. At the same time, three-dimensional modeling technology is applied to simulate the electric field distribution law of typical composite insulators, to visualize the E-field in the high field strength area of composite insulators. Finally, the post-processing results of image and the characteristics of electric field distribution are combined to form evaluation strategy of composite insulators operation status . This study has guiding significance for operation and maintenance of composite insulators used in power system.
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