GrC-Based Real-Time Fault Predictive Diagnosis Method

摘要：

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.

关键词： Fault Diagnosis Granular Computing Granular Reduction Algorithm Granular similarity calculation

作者: Xinying Xu Xudong Zhao Xiaoming Han Gang Xie

作者单位: 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.

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 695-699

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）