Cause-effect analysis of industrial alarm variables using transfer entropies. (July 2017)

• Record Type: Journal Article
• Authors: Hu, Wenkai; Wang, Jiandong; Chen, Tongwen; Shah, Sirish L.
• Is Part Of: Control engineering practice. Volume 64(2017)
• Page Start: 205
• Page End: 214
• Publication Date: 2017-07
• Subjects: Industrial alarm systems -- Cause-effect analysis -- Binary sequences -- Transfer entropy -- Direct causality; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2017.04.012
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: 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.