| Titre : | Adaptive agent-based system for process fault diagnosis (2011) |
| Auteurs : | Sinem Perk, Auteur ; Fouad Teymour, Auteur ; Ali Cinar, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Industrial & engineering chemistry research (Vol. 50 N° 15, Août 2011) |
| Article en page(s) : | pp. 9138-9155 |
| Note générale : | Chimie industrielle |
| Langues : | Anglais |
| Tags : | Fault diagnostic |
| Résumé : | An adaptive agent-based hierarchical framework for fault type classification and diagnosis in continuous chemical processes is presented. Classification techniques such as Fisher's discriminant analysis (FDA) and partial least-squares discriminant analysis (PLSDA) and diagnosis tools such as variable contribution plots are used by agents in this supervision system. After an abnormality is detected, the classification results reported by different diagnosis agents are summarized via a performance-based criterion, and a consensus diagnosis decision is formed. In the agent management layer of the proposed system, the performances of diagnosis agents are evaluated under different fault scenarios, and the collective performance of the supervision system is improved via performance-based consensus decision and adaptation. The effectiveness of the proposed adaptive agent-based framework for the classification of faults is illustrated using a simulated continuous stirred tank reactor (CSTR) network. |
| DEWEY : | 660 |
| ISSN : | 0888-5885 |
| En ligne : | http://cat.inist.fr/?aModele=afficheN&cpsidt=24395862 |
