Intelligent Fault Diagnosis of Rotating Machinery Based on Grey Similar Relation Degree

Abstract

After deeply studying the relationship between reason and symptom of the fault, a novel intelligent fault diagnosis method was proposed based on grey similar relation degree. Firstly, the definition of grey relation degree was introduced. Secondly, on the base of analyzing the defects existed in the grey relation degree, the definition of grey similar relation degree was introduced. Thirdly, the symptom set and standard fault set had been established based on the known knowledge, experience and fault examples. Finally, the grey similar relation degree was used to describe the similarity between the faults and symptoms. Even the fault information was imperfect and the fault mechanism was not clear, the results of diagnosis would be more correct than before. The practical results show that this approach is quite efficient and intelligent. It's suitable for on-line monitoring and diagnosis of rotating machinery.