Transformer DGA Diagnostic Method Based on Fuzzy Logic Function Method

In practice, transformer faults are often the compound of multiple fault types. In addition, the correspondence between the fault type and the fault symptom is also fuzzy, that is, the occurrence of one fault may cause multiple fault features. However, one fault feature can also be caused by multiple faults. Therefore, in the process of fault diagnosis, how to describe the complex fuzzy correspondence and deal with the uncertainty and incompleteness of the fault more reasonably. Fuzzy mathematics provides an idea. Due to the differences in the diagnostic characteristics and criteria of various methods, the conclusions are often inconsistent when using these methods to diagnose faults. when transformer faults occur, it is often a combination of multiple fault types, and the correspondence between fault types and fault symptoms is fuzzy. In order to describe the fuzzy correspondence in the complex fault diagnosis, the fuzzy mathematical theory is further introduced on the basis of the information fusion diagnosis method, and a comprehensive diagnosis method based on the information fusion and fuzzy logic is proposed. In this paper, the intersection and union of fuzzy logic are adopted to replace the AND and or logic of binary logic, and the intersection and union of fuzzy theory (i.e., maximum and minimum value) are adopted.