Equipment Fault Diagnosis Model Based on Fuzzy Integral and Dempster-Shafer Theory of Evidence

摘要：

To make full use of fault information for improving diagnosis precision and reliability, a new two-stage equipment fault diagnosis model based on fuzzy integral and Dempster-Shafer theory of evidence (DST) is presented in this paper. In this model fault information is fused spatially and temporally. It overcomes the limitation of fusing synchronic multi-sensor information in the traditional fault diagnosis and avoids the possible error of a single diagnosis. Finally, an illustrative example of diesel engine fault diagnosis is given to validate its feasibility and effectiveness.

关键词： fault diagnosis fuzzy integral dempster-shafer theory of evidence

作者: YE Qing WU Xiaoping BAI Chunjie

作者单位: Dept. of Information Security, Naval Univ. of Engineering, China

会议类型: 国际会议

会议名称: The First International Conference on Maintenance Engineering(首届维修工程国际学术会议)

会议地点: 成都

会议语种:英文

页码: 390-394

在线出版日期: 2006-10-15（万方平台首次上网日期，不代表论文的发表时间）