Abstract
A SDG-based simulation procedure is proposed in this study to qualitatively predict the effects of one or more fault propagating in a given process system. These predicted state evolution behaviors are characterized with an automaton model. By selecting a set of on-line sensors, the corresponding diagnoser can be constructed and the diagnosability of every fault origin can be determined accordingly by inspection. Furthermore, it is also possible to define a formal diagnostic language on the basis of this diagnoser. Every string (word) in the language is then encoded into an IF-THEN rule and, consequently, a comprehensive fuzzy inference system can be synthesized for on-line diagnosis. The language generation steps are illustrated with a series of simple examples in this paper. The feasibility and effectiveness of this approach has been tested in extensive numerical simulation studies.
| Original language | English |
|---|---|
| Pages (from-to) | 329-341 |
| Number of pages | 13 |
| Journal | Computers and Chemical Engineering |
| Volume | 35 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2011 Feb 9 |
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All Science Journal Classification (ASJC) codes
- Chemical Engineering(all)
- Computer Science Applications
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Fault diagnosis with automata generated languages. / Chang, Chuei-Tin; Chen, Chung Yang.
In: Computers and Chemical Engineering, Vol. 35, No. 2, 09.02.2011, p. 329-341.Research output: Contribution to journal › Article
TY - JOUR
T1 - Fault diagnosis with automata generated languages
AU - Chang, Chuei-Tin
AU - Chen, Chung Yang
PY - 2011/2/9
Y1 - 2011/2/9
N2 - A SDG-based simulation procedure is proposed in this study to qualitatively predict the effects of one or more fault propagating in a given process system. These predicted state evolution behaviors are characterized with an automaton model. By selecting a set of on-line sensors, the corresponding diagnoser can be constructed and the diagnosability of every fault origin can be determined accordingly by inspection. Furthermore, it is also possible to define a formal diagnostic language on the basis of this diagnoser. Every string (word) in the language is then encoded into an IF-THEN rule and, consequently, a comprehensive fuzzy inference system can be synthesized for on-line diagnosis. The language generation steps are illustrated with a series of simple examples in this paper. The feasibility and effectiveness of this approach has been tested in extensive numerical simulation studies.
AB - A SDG-based simulation procedure is proposed in this study to qualitatively predict the effects of one or more fault propagating in a given process system. These predicted state evolution behaviors are characterized with an automaton model. By selecting a set of on-line sensors, the corresponding diagnoser can be constructed and the diagnosability of every fault origin can be determined accordingly by inspection. Furthermore, it is also possible to define a formal diagnostic language on the basis of this diagnoser. Every string (word) in the language is then encoded into an IF-THEN rule and, consequently, a comprehensive fuzzy inference system can be synthesized for on-line diagnosis. The language generation steps are illustrated with a series of simple examples in this paper. The feasibility and effectiveness of this approach has been tested in extensive numerical simulation studies.
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UR - http://www.scopus.com/inward/citedby.url?scp=78651449509&partnerID=8YFLogxK
U2 - 10.1016/j.compchemeng.2010.10.003
DO - 10.1016/j.compchemeng.2010.10.003
M3 - Article
VL - 35
SP - 329
EP - 341
JO - Computers and Chemical Engineering
JF - Computers and Chemical Engineering
SN - 0098-1354
IS - 2
ER -