Power transformer fault diagnosis based on RS optimization
Song Yuqi · Modern Electronics Technique · 2015
In view of too much redundant information,inaccurate diagnosis result and other shortcomings existing in power transformer fault diagnosis with available fault diagnosis technology,the rough set theory is combined with probability neural network,in which the rough set theory is used to make the maximum reduction of early data of the fault system,and then fault pattern classification is done by means of the probability neural network,which can simplify diagnosis network scale and determine the fault type of power transformer more accurately than the diagnosis method of only probabilistic neural network can do. The research achievement has a broad application prospect in the aspect of oil-immersed power transformer fault diagnosis.