A New Fault Diagnosis Model for Circuits in Railway Vehicle Based on the Principal Component Analysis and the Belief Rule Base

Table 14

Comparison of the results of different methods.

Method	Accuracy (%)	MSE
Optimized BRB	95.8	0.1603
Initial BRB	83.6	0.3091
ER algorithm of unnormalized in optimized BRB	95.2	0.1722
Fault feature reconstruction by PCA in optimized BRB	87.9	0.2545
BP neural network	89.1	0.2396