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A hierarchical fault diagnosis method using a decision support system applied to a chemical plant

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4 Author(s)
Theilliol, D. ; Henri Poincare Univ., Vandoeuvre, France ; Weber, P. ; Ghetie, M. ; Noura, H.

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

Published in:

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on  (Volume:3 )

Date of Conference:

22-25 Oct 1995