Title :
A knowledge based approach to fault detection and diagnosis in industrial processes: a case study
Author :
Alonso, C.J.G. ; Acosta, G.G.L. ; De Prada, Moraga C. ; Mira, Mira J.
Author_Institution :
Dept. de Inf., Valladolid Univ., Spain
Abstract :
The article proposes a scheme for on-line fault detection and diagnosis using an expert system. This approach is being tested at a beet-sugar factory in Spain. A great deal of critical situations may arise in the normal operation of such a process. They are now managed by plant operators and cover both cases: faulty equipment diagnosis, which requires module substitution, as well as the detection of major improper control actions that may cause plant problems in the long run. This prototype not only comprises aspects related with fault detection and diagnosis but also is responsible for supervisory tasks to improve the whole process performance. The paper includes a description of the system architecture, a detailed presentation of the fault detection and diagnosis modules, and some evaluation of the results obtained by the system operation at the factory
Keywords :
computerised monitoring; diagnostic expert systems; failure analysis; fault location; food processing industry; Spain; beet-sugar factory; expert system; fault detection; fault diagnosis; faulty equipment diagnosis; improper control actions; industrial processes; knowledge based approach; supervisory tasks; system architecture; Computer aided software engineering; Diagnostic expert systems; Fault detection; Fault diagnosis; Monitoring; Process control; Production facilities; Prototypes; Sugar industry; System testing;
Conference_Titel :
Industrial Electronics, 1994. Symposium Proceedings, ISIE '94., 1994 IEEE International Symposium on
Conference_Location :
Santiago
Print_ISBN :
0-7803-1961-3
DOI :
10.1109/ISIE.1994.333083