Study on fault diagnosis of power transformer based on RSNN
Lv Hong-li · 2013
This paper studies the power transformer fault quality diagnosis using the technology of intelligent diagnosis. It is rough set theory as the pre-unit of neural network. A large number of original data is made reduction by means of rough set algorithm and become the train data of BP neural network. Through simulation with practical data it is proved that the method of RSNN can make the training time shorter and the diagnostic accuracy is higher compared with the traditional neural network method.