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 |
All Science Journal Classification (ASJC) codes
- Chemical Engineering(all)
- Computer Science Applications