Improving Rolling Bearing Fault Diagnosis by DS Evidence Theory Based Fusion Model

<div>Structure of our fusion model. It mainly includes ① feature extraction based on wavelet transform; ② dimension reduction using PCA; ③ training of LVQ neural network and decision tree models; and ④ DS evidence theory based fusion prediction model.</div>

Journal of Sensors

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Figure 1: Improving Rolling Bearing Fault Diagnosis by DS Evidence Theory Based Fusion Model 