Set Pair Analysis Applied for Identifying Power Transformer Faults

In order to be able to more perfectly and roundly deal with incomplete and indeterminate as well as ill fault symptom information in process of transformer fault diagnosis, set pair analysis (SPA) is applied to design emulation model and implement fault diagnosis in this paper. In this method, the consistency and discrepancy and conflict of fuzzy fault symptom information to same fault sources are fully considered based on statistical data simultaneously, then, according to contact number, the likelihood of each fault occurrence is separately worked out. In addition, the prior probability of each fault occurrence is also fully considered. Thus a more intelligent fuzzy inference system is formed. By the use of it in transformer fault diagnosis, both simulation and trial show that the proposed method possesses excellent intelligence and robustness, and is an ideal pattern classifier and transformer fault diagnosis method