ON-LINE FAULT DETECTION AND DIAGNOSIS OF A REFINERY PROCESS
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 885-890 |
| Journal / Publication | IFAC Proceedings Volumes (IFAC-PapersOnline) |
| Volume | 36 |
| Issue number | 5 |
| Publication status | Published - Jun 2003 |
| Externally published | Yes |
Conference
| Title | 5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Safeprocess 2003 |
|---|---|
| Place | United States |
| City | Washington |
| Period | 9 - 11 June 1997 |
Link(s)
Abstract
This paper describes a model-based approach for fault detection and diagnosis of closed-loop dynamic systems using finite automaton tables. Given dynamic equations of a process, finite automaton tables are automatically generated to describe possible discrete state transitions for normal operation and faulty conditions, and then serve as input to the fault detection and diagnosis algorithm. This paper also presents software implementation architecture for this approach and applies it to a refinery process simulation. The result shows that faults can be on-line detected and diagnosed.
Research Area(s)
- Fault detection, Fault diagnosis, Finite automata, Discretization, Supervisory control
Citation Format(s)
ON-LINE FAULT DETECTION AND DIAGNOSIS OF A REFINERY PROCESS. / Liu, J.; Lim, K. W.; Ho, W. K. et al.
In: IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 36, No. 5, 06.2003, p. 885-890.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
