The Neural Network Expert System Applied to Power System Diagnosis
Jun Wang · Aerospace Control · 2012
Aiming at resolving the limitation problems of complex system such as satellite diagnosed by single intelligent fault diagnosis technology,a combined diagnosis method combining neural network and expert system and based on fuzzy synthesis evaluation is proposed.The BP neural network modified is selected by using momentum factor and variable learning speed rate.The diagnosis result confidence is obtained by computing the root mean square error of the outputs of ten same structure BP neural networks.The uncertain reasoning based on confidence is adopted for expert system,and the computation method for confidence is given.The results of two diagnosis methods are synthesis evaluated by fuzzy operator of algebra product and algebra sum.The technology is applied to the fault diagnosis of a satellite power system,and the result shows that the diagnosis confidence and accuracy is increased.