Intelligent Fault Diagnosis of Rotating Machinery Based on Grey Similar Relation Degree
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. Its suitable for on-line monitoring and diagnosis of rotating machinery.
grey similar relation degree intelligent fault diagnosis standard fault set rotating machinery
Wei Xiong Yanping Su Yanjie Zhou Hongjun Wang Wenbin Zhang
Engineering College,Honghe University,China
国际会议
西安
英文
889-892
2011-12-23（万方平台首次上网日期，不代表论文的发表时间）