Application of information fusion technique to transformer fault diagnosis

To improve the lower fault diagnosis rate caused by the uncertainty of sensor, the categories and levels of information fusion as well as the constitution and key technique of the fusion system are studied. Through the data fusion, the characteristic fusion and the decision fusion, the ability to deal with multi-source information is increased for the system. The problem of the uncertainty reasoning process has solved and the diagnosis precision is enhanced during the transformer diagnosis by combining the data fusion technology and fault diagnosis theory. Operation practice shows that a more accurate result can be obtained based on information fusion technique for the fault diagnosis.