A Multimodel Decision Fusion Method Based on DCNN-IDST for Fault Diagnosis of Rolling Bearing

<div>Flowcharts of comparative methods. (a) Advantages of artificial feature extraction and DCNN adaptive feature extraction. (b) The diagnosis effect of the new approach based on IDSET and D-S synthesis formula is verified.</div>

Shock and Vibration

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Figure 3: A Multimodel Decision Fusion Method Based on DCNN-IDST for Fault Diagnosis of Rolling Bearing 