Dynamic Fault Diagnosis Using the Improved Linear Evidence Updating Strategy

doi:10.1007/s12204-015-1644-5

上海交通大学学报（英文版） ›› 2015, Vol. 20 ›› Issue (4): 427-436.doi: 10.1007/s12204-015-1644-5

Dynamic Fault Diagnosis Using the Improved Linear Evidence Updating Strategy

SHANG Qun-li1 (尚群立), ZHANG Zhen2 (张镇), XU Xiao-bin2* (徐晓滨)

(1. College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China; 2. Institute of Systems Science and Control Engineering, Hangzhou Dianzi University, Hangzhou 310018, China)

发布日期:2015-08-05
通讯作者: XU Xiao-bin (徐晓滨) E-mail: xuxiaobin1980@163.com

Dynamic Fault Diagnosis Using the Improved Linear Evidence Updating Strategy

SHANG Qun-li1 (尚群立), ZHANG Zhen2 (张镇), XU Xiao-bin2* (徐晓滨)

(1. College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China; 2. Institute of Systems Science and Control Engineering, Hangzhou Dianzi University, Hangzhou 310018, China)

Published:2015-08-05
Contact: XU Xiao-bin (徐晓滨) E-mail: xuxiaobin1980@163.com

摘要/Abstract

摘要： The majority of the existing fault diagnosis methods using Dempster-Shafer (DS) evidence theory (DST) all provide the “static” fused results by combining several pieces of diagnosis evidence, which only reflect the current running status of monitored equipment. This paper presents the dynamic diagnosis strategy by using recursively the improved linear evidence updating rule. Its updated result can synthesize the diagnosis evidence collected at historical, current and future time steps by dynamically adjusting the proposed smoothing linear combination weights. The diagnosis examples of machine rotor show that the proposed method can provide more reliable and accurate results than the diagnosis methods based on the classical updating strategies.

关键词: dynamic fault diagnosis, information fusion, Dempster-Shafer evidence theory (DST), evidence updating

Abstract: The majority of the existing fault diagnosis methods using Dempster-Shafer (DS) evidence theory (DST) all provide the “static” fused results by combining several pieces of diagnosis evidence, which only reflect the current running status of monitored equipment. This paper presents the dynamic diagnosis strategy by using recursively the improved linear evidence updating rule. Its updated result can synthesize the diagnosis evidence collected at historical, current and future time steps by dynamically adjusting the proposed smoothing linear combination weights. The diagnosis examples of machine rotor show that the proposed method can provide more reliable and accurate results than the diagnosis methods based on the classical updating strategies.

Key words: dynamic fault diagnosis, information fusion, Dempster-Shafer evidence theory (DST), evidence updating

中图分类号:

TP 391

SHANG Qun-li1 (尚群立), ZHANG Zhen2 (张镇), XU Xiao-bin2* (徐晓滨). Dynamic Fault Diagnosis Using the Improved Linear Evidence Updating Strategy[J]. 上海交通大学学报（英文版）, 2015, 20(4): 427-436.

SHANG Qun-li1 (尚群立), ZHANG Zhen2 (张镇), XU Xiao-bin2* (徐晓滨). Dynamic Fault Diagnosis Using the Improved Linear Evidence Updating Strategy[J]. Journal of shanghai Jiaotong University (Science), 2015, 20(4): 427-436.

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Dynamic Fault Diagnosis Using the Improved Linear Evidence Updating Strategy

Dynamic Fault Diagnosis Using the Improved Linear Evidence Updating Strategy

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