Fault detection with artifical neural network
ZHU Xu-dong, DAI Wen-zhan, LANG Yan-feng (Department Of Information And Electric, Hangzhou University of Commerce, Hangzhou 310012, China)
As system runs, Faults are expected to occur . Increasedly attention are paid to fault detection and diagnosis, especially in the way of artificial neural network. This paper summarize some of current achievements and problems of this area.