NDLI: Detection of direct causality based on process data

Content Provider	IEEE Xplore Digital Library
Author	Ping Duan Fan Yang Tongwen Chen Shah, S.L.
Copyright Year	2012
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada (Ping Duan; Tongwen Chen) \|\| Dept. of Chem. & Mater. Eng., Univ. of Alberta, Edmonton, AB, Canada (Shah, S.L.) \|\| Dept. of Autom., Tsinghua Univ., Beijing, China (Fan Yang)
Abstract	Direct causality detection is an important and challenging problem in root cause and hazard propagation analysis. Several methods provide effective solutions to this problem for linear relationships. For nonlinear situations, currently only causality analysis can be conducted, but the direct causality cannot be identified based on process data. In this paper, we describe a direct causality detection approach suitable for both linear and nonlinear connections. Based on an extension of the transfer entropy approach, a direct transfer entropy (DTE) concept is proposed to detect whether there is a direct information and/or material flow pathway from one variable to another. A discrete DTE and a differential DTE are defined for discrete and continuous random variables, respectively; and the relationship between them is discussed. The effectiveness of the proposed method is illustrated by two examples and an experimental case study.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	3522
Ending Page	3527
File Size	426777
Page Count	6
File Format	PDF
ISBN	9781457710957
ISSN	07431619
e-ISBN	9781457710964
e-ISBN	9781467321020
DOI	10.1109/ACC.2012.6314845
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Entropy Vectors Materials Random variables Joints Kernel Estimation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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