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

Table 3

Error values before and after pruning.

	Before pruning	After pruning
re-sub-err	0.01	0.07
cross-val-err	0.09	0.08
Average accuracy	82.98%	84.09%