Abstract
As high-voltage electric equipment has complex structure and works in harsh environment, this paper is aimed at applying Optical Fiber Sensors to a temperature-variation fault diagnosis system of high-voltage electric equipment based on the combination of neural network and expert system. Neural network has the characteristics of self-adapted, distributed storage and associative memory. Using BP neural network, we can make on-line diagnosis of temperature-variation fault of high-voltage electric equipment. All the uses above can increase the speed of diagnosis and make results be more exact.
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