Abstract
Automatic control systems with sophisticated control algorithm can be very large and complex. In order to improve the automatic process control, it is important to develop fault diagnosis strategy. A hierarchical scheme of fault detection and isolation based on Decision Support System (DSS) is presented. For fault diagnosis, a knowledge based procedure is required. In addition to analytic symptoms, heuristic information have to be taken into account. A pattern recognition method, a unified representation of all symptoms, and a fuzzy expert system are integrated in the diagnostic tool. This approach is applied to sensor fault detection in a chemical plant, and compared with different methods.
| Original language | English |
|---|---|
| Pages (from-to) | 2205-2210 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 3 |
| Publication status | Published - 1995 |
| Externally published | Yes |
| Event | Proceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics. Part 2 (of 5) - Vancouver, BC, Can Duration: Oct 22 1995 → Oct 25 1995 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Hardware and Architecture