In view of the problems of excessive loss of recognition results and poor accuracy of currently prevailing fault recognition methods in infrared image fault recognition of high voltage equipment,this paper introduces rough set neural network to the method of automatic fault recognition of infrared images of high voltage equipment.The method works by collecting infrared images of high voltage equipment of different types,models and operating states,establishing infrared image sample database of high voltage equipment,using rough set neural network to mine the infrared image data,and calculating the warning threshold and warning coefficient to realize automatic fault identification and warning.The experi-mental results show that the new fault identification method achieves significant reduction in the loss value of equipment results,and higher identification accuracy.
关键词
粗糙集神经网络/高压设备/红外图像/故障识别
Key words
rough set neural network/high voltage equipment/infrared image/fault identification
维普
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