Early fault detection and on-line diagnosis in real-time environments

This paper describes an approach to fault detection and diagnosis involving the simultaneous employment of quantitative and qualitative reasoning techniques. We show that early identification of process anomalies by means of a separate fault detection module paves the way for a fast and accuratc fol...

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Main Authors:	Andreas Bye, Eyvind Ness
Format:	Article
Language:	English
Published:	Norwegian Society of Automatic Control 1993-01-01
Series:	Modeling, Identification and Control
Subjects:	Operator support systems fault detection fault diagnosis quantitation modeling
Online Access:	http://www.mic-journal.no/PDF/1993/MIC-1993-1-2.pdf

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spelling	doaj-3bcea30ea1cb4f9b902ea649edc731ae2020-11-24T21:05:39ZengNorwegian Society of Automatic ControlModeling, Identification and Control0332-73531890-13281993-01-01141274110.4173/mic.1993.1.2Early fault detection and on-line diagnosis in real-time environmentsAndreas ByeEyvind NessThis paper describes an approach to fault detection and diagnosis involving the simultaneous employment of quantitative and qualitative reasoning techniques. We show that early identification of process anomalies by means of a separate fault detection module paves the way for a fast and accuratc follow-up diagnosis. The diagnosis task is dramatically simplified because the diagnostic inferences can be performed at the soonest possible time: when the detection module first spots deviations between its calculated reference points and the corresponding measurements from the process. http://www.mic-journal.no/PDF/1993/MIC-1993-1-2.pdfOperator support systemsfault detectionfault diagnosisquantitation modeling
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Andreas Bye Eyvind Ness
spellingShingle	Andreas Bye Eyvind Ness Early fault detection and on-line diagnosis in real-time environments Modeling, Identification and Control Operator support systems fault detection fault diagnosis quantitation modeling
author_facet	Andreas Bye Eyvind Ness
author_sort	Andreas Bye
title	Early fault detection and on-line diagnosis in real-time environments
title_short	Early fault detection and on-line diagnosis in real-time environments
title_full	Early fault detection and on-line diagnosis in real-time environments
title_fullStr	Early fault detection and on-line diagnosis in real-time environments
title_full_unstemmed	Early fault detection and on-line diagnosis in real-time environments
title_sort	early fault detection and on-line diagnosis in real-time environments
publisher	Norwegian Society of Automatic Control
series	Modeling, Identification and Control
issn	0332-7353 1890-1328
publishDate	1993-01-01
description	This paper describes an approach to fault detection and diagnosis involving the simultaneous employment of quantitative and qualitative reasoning techniques. We show that early identification of process anomalies by means of a separate fault detection module paves the way for a fast and accuratc follow-up diagnosis. The diagnosis task is dramatically simplified because the diagnostic inferences can be performed at the soonest possible time: when the detection module first spots deviations between its calculated reference points and the corresponding measurements from the process.
topic	Operator support systems fault detection fault diagnosis quantitation modeling
url	http://www.mic-journal.no/PDF/1993/MIC-1993-1-2.pdf
work_keys_str_mv	AT andreasbye earlyfaultdetectionandonlinediagnosisinrealtimeenvironments AT eyvindness earlyfaultdetectionandonlinediagnosisinrealtimeenvironments
_version_	1716768044609437696

Early fault detection and on-line diagnosis in real-time environments

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