(A fault diagnosis method of rolling bearing based on neural network is proposed. Taking the energy information after wavelet decomposition of rolling bearing as a feature, the defects of rolling bearing are identified by neural network as a classifier. Experiments show that this method has a certain value in the diagnosis of the shortcomings of rolling bearings, and can be easily applied to other similar diagnosis fields.)
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