Application of rough set and genetic algorithm to transformer fault diagnosis
Ji Zhu, Ying Yu · 2011
A genetic algorithm combined with theories of rough set is proposed in the process of fault diagnosis of power transformer. Then by the process of value reducing, the fault diagnosis rules are extracted from the minimal decision table obtained from the algorithm. Besides, the feasibility of the generalized rules for power transformer fault diagnosis and the efficiency of the algorithm are illustrated with two specific examples.