标题:Cause-effect analysis of industrial alarm variables using transfer entropies
作者:Hu, Wenkai; Wang, Jiandong; Chen, Tongwen; Shah, Sirish L.
作者机构:[Hu, Wenkai; Chen, Tongwen] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB, Canada.; [Wang, Jiandong] Shandong Univ Sci & Technol, Qingdao, Shan 更多
通讯作者:Wang, Jiandong
通讯作者地址:[Wang, JD]Shandong Univ Sci & Technol, Qingdao, Shandong, Peoples R China.
来源:CONTROL ENGINEERING PRACTICE
出版年:2017
卷:64
页码:205-214
DOI:10.1016/j.conengprac.2017.04.012
关键词:Industrial alarm systems; Cause-effect analysis; Binary sequences;; Transfer entropy; Direct causality
摘要:A method is proposed to analyze cause-effect relationships among binary-valued alarm variables. A normalized transfer entropy (NTE) and a normalized direct transfer entropy (NDTE) are formulated as basic statistical metrics, with consideration of two specific characteristics of alarm variables, namely, random delays and mutual independence among alarm occurrences. A modified statistical test is developed to determine significance thresholds of NTEs and NDTEs, based on which the cause-effect relationships can be inferred. The effectiveness of the proposed method is illustrated via numerical and industrial case studies. (C) 2017 Elsevier Ltd. All rights reserved.
收录类别:EI;SCIE
WOS核心被引频次:3
资源类型:期刊论文
TOP