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- W2351177237 abstract "A method and principle of fault diagnosis based on an improved genetic algorithm(IGA) and back-propagation neural network is studied.A fault diagnosis experiment is carried out through tuning the weight and threshold of BP NN through the IGA and extracting the feature vectors of the roller bearing signals on the basis of wavelet analysis,and the fault models are recognized.The conclusion indicats that the combination method of the IGA and BP NN possess good capability of fault diagnosis identification.The results show that it is feasible to implement fault diagnosis of rolling bearings with the IGA and BP NN." @default.
- W2351177237 created "2016-06-24" @default.
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- W2351177237 date "2010-01-01" @default.
- W2351177237 modified "2023-09-23" @default.
- W2351177237 title "Fault Diagnosis of Rolling Bearings Based on An IGA-BP Neural Network" @default.
- W2351177237 hasPublicationYear "2010" @default.
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