Application of the Improved Mass Function Algorithm in Fault Diagnosis of Power Transformer

Evidence theory is widely used in data fusion systems. However, there exist some problems in its combination rule. This paper quoted a new algorithm for assigning mass function. This algorithm determines the uncertainty of the bodies of evidence, which combines the reliability of the bodies of evidence and the entropy of associated coefficient between the evidences and the targets. It also generally reflects the total uncertainty of the evidences. Directly toward the algorithm, this paper proposed a new synthetic method of transformer fault diagnosis, which based on the neural networks and D-S evidence theory.