Power Transformer Fault Diagnosis Based on Data Fusion

As the fault information of power transformers has characteristics such as complementarities, redundancy and uncertainty, the diagnosis task can’t be finished by the simple fault characteristic vector and the diagnosis method. The basic ideas of information fusion are introduced, and DGA (the Dissolved Gas Analysis) is combined tightly with other information such as the results of conventional electrical test of power transformer. The power transformer fault diagnosis model based on information fusion is built. The models can diagnose both fault property and fault spot, which can improve reliability and lower uncertainty in fault diagnosis.