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Application of Improved BP Neural Network in Fault Diagnosis of Fans
MI Jiang;JI Guo-yi
2011, 31 (2):
94-98.
DOI: 10.3969/j.issn.1006-1355-2011.02.023
An improved BP neural network with the methods of momentum and adaptive learning rate is applied to build the fault diagnosis system of the fans. In the process of training, standard training samples and samples with white noise are employed to train the neural network so that the neural network has some ability of fault tolerance. Results of the simulation and the fault diagnosis of a fan show that the improved BP neural network needs less training times, the learning efficiency is raised, and the phenomenon of trapping in the local minimum for the network is effectively repressed. This method is effective for the fault diagnosis of fans.
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