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Bearing fault diagnosis based on BP neural network
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Source of data set: bearing experimental fault data of Western Reserve University of the United States takes inner ring fault, outer ring fault, rolling element fault and normal bearing as category labels, and builds a bearing fault diagnosis and classification model based on BP neural network. The final recognition and classification accuracy of the model is 100%, and the effect is very good;
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