NDLI: Fault Detection for Systems With Multiple Unknown Modes and Similar Units and Its Application to HVAC

Content Provider	IEEE Xplore Digital Library
Author	Bashi, A. Jilkov, V.P. Li, X.R.
Copyright Year	1993
Abstract	This paper considers fault detection (FD) for large-scale systems with many nearly identical units operating in a shared environment. A special class of hybrid system mathematical models is introduced to describe such multi-unit systems, and a general approach for estimation and change detection is proposed. A novel FD algorithm is developed based on estimating a common Gaussian-mixture (GM) distribution for unit parameters whereby observations are mapped into a common parameter-space and clusters are then identified corresponding to different modes of operation via the expectation-maximization (EM) algorithm. The estimated common distribution incorporates information from all units and is utilized for FD in each individual unit. The proposed algorithm takes into account unit mode switching and parameter drift and can handle sudden, incipient, and preexisting faults. It can be applied to FD in various industrial, chemical, or manufacturing processes, sensor networks, and others. The second part of the paper is focused on the application of the new technique to practical heating, ventilation, and air-conditioning (HVAC) systems. Reliable and timely FD is a significant and still open practical problem in the HVAC industry, and, as such, the first application of this approach is aimed at this industry. It addresses important details of the algorithm's implementation and presents results from an extensive performance study based on both Monte Carlo simulations and real data collected from three operational large HVAC systems. The results demonstrate the capabilities of the new technique in a more realistic setting and provide insights that can facilitate the design and implementation of practical FD for systems of similar type in other industrial applications.
Sponsorship	IEEE Control Systems Society
Starting Page	957
Ending Page	968
Page Count	12
File Size	1188191
File Format	PDF
ISSN	10636536
Volume Number	19
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Estimation Temperature measurement Heating Mathematical model Fault detection Expectation-maximization algorithms multiple model expectation-maximization (EM) algorithm fault detection (FD) heating ventilation and air-conditioning (HVAC) hybrid system
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering 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
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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