Development of fault diagnosis methods based on qualitative predictions of symptom evolution behaviors

Jung Yang Chen; Chuei Tin Chang

Development of fault diagnosis methods based on qualitative predictions of symptom evolution behaviors

Department of Chemical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A SDG-based reasoning procedure is presented in this paper to qualitatively predict the evolution process of one or more fault propagating in a multi-loop process system. A set of IF-THEN rules are then constructed accordingly for diagnosis purpose. The resulting fuzzy inference system can be used to identify not only the locations of fault origins but also their magnitude levels. Numerical simulation studies have been carried out to verify the feasibility of the proposed approach.

Original language	English
Title of host publication	2007 European Control Conference, ECC 2007
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	992-999
Number of pages	8
ISBN (Electronic)	9783952417386
Publication status	Published - 2007 Jan 1
Event	2007 9th European Control Conference, ECC 2007 - Kos, Greece Duration: 2007 Jul 2 → 2007 Jul 5

Publication series

Name	2007 European Control Conference, ECC 2007

Other

Other	2007 9th European Control Conference, ECC 2007
Country	Greece
City	Kos
Period	07-07-02 → 07-07-05

All Science Journal Classification (ASJC) codes

Control and Systems Engineering

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Cite this

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title = "Development of fault diagnosis methods based on qualitative predictions of symptom evolution behaviors",

abstract = "A SDG-based reasoning procedure is presented in this paper to qualitatively predict the evolution process of one or more fault propagating in a multi-loop process system. A set of IF-THEN rules are then constructed accordingly for diagnosis purpose. The resulting fuzzy inference system can be used to identify not only the locations of fault origins but also their magnitude levels. Numerical simulation studies have been carried out to verify the feasibility of the proposed approach.",

author = "Chen, {Jung Yang} and Chang, {Chuei Tin}",

year = "2007",

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series = "2007 European Control Conference, ECC 2007",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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note = "2007 9th European Control Conference, ECC 2007 ; Conference date: 02-07-2007 Through 05-07-2007",

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Chen, JY & Chang, CT 2007, Development of fault diagnosis methods based on qualitative predictions of symptom evolution behaviors. in 2007 European Control Conference, ECC 2007., 7068243, 2007 European Control Conference, ECC 2007, Institute of Electrical and Electronics Engineers Inc., pp. 992-999, 2007 9th European Control Conference, ECC 2007, Kos, Greece, 07-07-02.

Development of fault diagnosis methods based on qualitative predictions of symptom evolution behaviors. / Chen, Jung Yang; Chang, Chuei Tin.

2007 European Control Conference, ECC 2007. Institute of Electrical and Electronics Engineers Inc., 2007. p. 992-999 7068243 (2007 European Control Conference, ECC 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - A SDG-based reasoning procedure is presented in this paper to qualitatively predict the evolution process of one or more fault propagating in a multi-loop process system. A set of IF-THEN rules are then constructed accordingly for diagnosis purpose. The resulting fuzzy inference system can be used to identify not only the locations of fault origins but also their magnitude levels. Numerical simulation studies have been carried out to verify the feasibility of the proposed approach.

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