| Titre : | Petri - net based approach to configure online fault diagnosis systems for batch processes (2010) |
| Auteurs : | Yi-Chung Chen, Auteur ; Ming-Li Yeh, Auteur ; Chia-Lun Hong, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Industrial & engineering chemistry research (Vol. 49 N° 9, Mai 2010) |
| Article en page(s) : | pp. 4249–4268 |
| Note générale : | Industrial chemistry |
| Langues : | Anglais |
| Tags : | Batch Processes |
| Résumé : | Online fault diagnosis is a task of critical importance for maintaining a high level of operational safety in many chemical plants. The Petri-net models are adopted in this work for describing the fault propagation behaviors in batch processes. A systematic method has been developed to synthesize a timed Petri-net hierarchically structured according to any given piping and instrumentation diagram (P&ID) and its operating procedure. On the basis of this model, a diagnoser can be constructed automatically with a computer program for online implementation. Computer algorithms have also been devised to place additional sensors and/or synthesize extra operation steps for the purpose of improving diagnostic performance. Several examples are presented in this paper to demonstrate the effectiveness and correctness of the proposed approach. |
| ISSN : | 0888-5885 |
| En ligne : | http://pubs.acs.org/doi/abs/10.1021/ie901410p |
