NDLI: Sensor fault detection and identification via Bayesian belief networks

Content Provider	IEEE Xplore Digital Library
Author	Mehranbod, N. Soroush, M. Piovoso, M. Ogunnaike, B.A.
Copyright Year	2003
Description	Author affiliation: Dept. of Chem. Eng., Drexel Univ., Philadelphia, PA, USA (Mehranbod, N.; Soroush, M.)
Abstract	A new Bayesian belief network (BBN) model with discretized nodes is proposed for fault detection and identification in a single sensor. The single-sensor model is used as a building block to develop a BBN model for all sensors in the process under consideration. A new fault detection index, a fault identification index, and a threshold setting procedure for the multi-sensor model are introduced. Single-sensor model design parameter (prior and conditional probability data) is optimized to achieve maximum effectiveness in detection and identification of sensor faults. The single-sensor model and the optimal values of the design parameters are used to develop a multi-sensor BBN model for a polymerization reactor at steady-state conditions. The capabilities of this BBN model to detect and identify bias, drift and noise in sensor readings are illustrated by an example of simultaneous multiple faults.
Sponsorship	American Automatic Control Council IFAC
Starting Page	4863
Ending Page	4868
File Size	1836827
Page Count	6
File Format	PDF
ISBN	0780378962
ISSN	07431619
DOI	10.1109/ACC.2003.1242493
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-06-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault detection Fault diagnosis Bayesian methods Chemical sensors Chemical engineering Polymers Electronic switching systems Power generation Probability distribution Steady-state
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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