Applied Research on Fault Diagnosis of Power Transformers Based on Rough Set Theory

Power transformers serve as a bridge in the structure of electric power systems, and its stability and reliability are important links to the security of electric power systems, so we should study fault diagnosis of power transformers. In this paper, fault diagnosis of power transformers is investigated based on rough set theory and dominancebased rough set approach. The results show that the features of faults in power transformers can be extracted by using classical rough set theory, and fault criteria can be obtained. In this paper, five fault criteria are verified by using concrete examples and analyzed, and the results show that the fault criteria extracted based upon rough set theory can meet practical requirements. Moreover, dominance-based rough set approach is also employed to study the ordered maintenance of power transformers, and to establish an algorithm flow chart for ordered maintenance.