A Data Mining Approach for Intelligent Equipment Fault Diagnosis
Mechanical and electrical equipments are widely used in industry.Existing electro-hydraulic mixing equipments mainly use expert systems for fault diagnasis.However,in order to increase the accuracy of diagnasis,the expert systems have to acquire more knowledge.And diagnosis system will bring great uncertainty due to limited knowledge.Furthermore,existing fault diagnosis system has the disadvantages of low efficiency of analyzing data,bad fault-tolerance,and this may lead to wrong diagnosis results.In this paper,Decision Tree algorithm of data mining technology is used in the area of equipment fault diagnosis,and discuss and study the method of equipment intelligent fault diagnosis based on data mining technology.As a result,this method can compensate for the limitations of knowledge acquisition of expert system and enhance the accuracy of fault diagnosis.
Data mining Fault diagnosis Decision Tree
Yanxing Di WeiSong Lizhen Liu HanshiWang
Information and Engineering College,Capital Normal University,Beijing 100048,China
国际会议
重庆
英文
1082-1086
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）