GrC-Based Real-Time Fault Predictive Diagnosis Method
Traditional diagnostic systems generally are off-line and confirmatory. When abnormal variables occur, they cannot provide predictive diagnosis and maintenance suggestions in time. So the anomaly may be further accumulated and lead to more serious faults. This paper proposes a real-time fault predictive diagnosis method, which is based on granular reduction algorithm and granular similarity calculation. By using this method, the predictive fault diagnosis of a real-time system can be changed into a set of simple mathematical operations. Finally, the validity and feasibility of the method are illustrated with a real example.
Fault Diagnosis Granular Computing Granular Reduction Algorithm Granular similarity calculation
Xinying Xu Xudong Zhao Xiaoming Han Gang Xie
College of Information Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, 030024, P. R. College of Information Engineering, Taiyuan University of Technology, Taiyuan,Shanxi, 030024, P. R.
国际会议
2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)
四川绵阳
英文
695-699
2011-05-23(万方平台首次上网日期,不代表论文的发表时间)