Transistor open-circuit fault disgnosis of three phase voltage-source inverter fed induction motor based on information fusion
In this paper, an improved Dempster-Shafer evidence theory fusing Back-propagation neural network and Classification and regression tree was presented to improve the accuracy of three-phase voltage-source inverter transistor open-circuit fault diagnosis. Firstly, wavelet transform is used to preprocess load current signals. Secondly, open-circuit faults are diagnosed by the processed currents based on BPNN and CART, respectively. Finally, diagnosis results of BPNN and CART are fused in the improved D-S evidence theory on decision level. Experimental results show better accuracy than any single fault diagnosis method, high effectiveness is evaluated.