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Research of infrared thermal on-line detection technology of zero resistance insulator

Research of infrared thermal on-line detection technology of zero resistance insulator,10.1109/CSQRWC.2011.6037224,Jiazheng Lu,Chun Zhao,Zhenglong Jia

Research of infrared thermal on-line detection technology of zero resistance insulator  
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The zero resistance insulator greatly threats the safe and steady operation of the power system. A new method of detecting the zero resistance insulator on-line based on the infra­ red thermal image is presented. The recognition algorithm for zero resistance insulator with image processing is designed. The soft thresholding de-noising method is designed and Bayesian estimation is applied in the de-noising of infrared thermal images. The improved bi-threshold OTSU segmenting method is applied to wipe out the disturbed objects and keep only the plate area of insulators. Two-factor analysis of variance is used to assess the features of the infrared thermal images. Additional momentum and self-adaptive gradient descent algorithm are applied to improve back-propagation (BP) neural network in this research. Testing results show that these methods can achieve good effect.
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