- Blanke, M., Kinnaert, M., Lunze, J. and Staroswiecki, M. (2003) in: Diagnosis and Fault Tolerant Control, Springer Verlag. [Google Scholar]
- Cassar, J.P. and Staroswiecki, M. (1997) A Structural Approach for the Design of Failure Detection and Identification Systems, Proc. of the IFAC Symposium on Control of Industrial Systems, Belfort. [Google Scholar]
- Cauvin, S. and Celse, B. (2004a) CHEM: Advanced Decision Support Systems for Chemical/Petrochemical Process Industries. ESCAPE-14 Congress, Lisbonne. [Google Scholar]
- Cauvin, S., Celse, B., Gentil, S. and Travé-Massuyès, L. (2004b) Model Based Diagnosis Module for a FCC Pilot Plant. ERTC Congress, London. [Google Scholar]
- Cordier, M., Dague, P., Dumas, M., Levy, F., Montmain, J., Staroswiecki, M. and Travé-Massuyès, L. (2000) A Comparative Analysis of AI and Control Theory Approaches to Model-Based Diagnosis. ECAI'00 Congress. [Google Scholar]
- Dion, J.M., Commault, C. and Van der Woude, J. (2003) Generic Properties and Control of Linear Structured Systems: a Survey. Automatica, 39, 1125-1144. [CrossRef] [MathSciNet] [Google Scholar]
- Evsukoff, A., Montmain, J. and Gentil, S. (1997) Dynamic Model Based Supervising and Causal Knowledge-Based Fault Detection Ad Isolation. IFAC Safeprocess '97 Congress, Hull, 699-704. [Google Scholar]
- Evsukoff, A.,Gentil, S. and Montmain, J. (2000) Fuzzy Reasoning In Co-operative Supervision Systems. Control Engineering Practice, 8, 389-407. [CrossRef] [Google Scholar]
- Ford, L.R. Jr. and Fulkerson, D.R. (1956) Maximal Flow Through a Network. Can. J. Math., 8, 399-404. [CrossRef] [MathSciNet] [Google Scholar]
- Frank, P. (1990) Fault Diagnosis in Dynamic Systems Using Analytical and Knowledge-Based Redundancy, a Survey and Some New Results. Revue européene Diagnostic et Sûreté de fonctionnement, Hermès, 26, 3, 459-474. [Google Scholar]
- Frank, P. (1991) Fault Diagnosis in Dynamic Systems Using Software Redundancy. Revue européene Diagnostic et Sûreté de fonctionnement, Hermès 1, 2, 113-143. [Google Scholar]
- Frank, P. and Ding, S. (2000) Current Development in the Theory of FDI, IFAC Safeprocess, Budapest, 16-27. [Google Scholar]
- Gentil, S.,Montmain, J. and Combastel, C. (2004) Combining FDI and AI Approaches within Causal-Model-Based Diagnosis, IEEE Transactions SMC-Part B, 34, 5, 2207-2221. [Google Scholar]
- Heim, B., Cauvin, S. and Gentil S. (2001) A Fuzzy and Causal Reasoning Methodology Coupled with an Heuristic Approach for Fault Diagnosis on a FCC Pilot Process. 4th Workshop on On- Line Fault Detection and Supervision in the Chemical Process Industries, Seoul. [Google Scholar]
- Heim, B., Gentil, S., Cauvin, S., Travé-Massuyès, L., and Braunschweig, B. (2002) Fault Diagnosis of a Chemical Process Using Causal Uncertain Model. 15th European Conference on Artificial Intelligence, Lyon, July 21-26. [Google Scholar]
- Heim, B. (2003) Approche ensembliste et par logique floue pour le diagnostic causal de procédés de raffinage - Application à un pilote de FCC. PhD Thesis, INPG Grenoble. [Google Scholar]
- Isermann R. (1993) Fault Diagnosis of Machines via Parameter Estimation and Knowledge Processing - Tutorial Paper. Automatica, 29, 4, 815-835. [CrossRef] [MathSciNet] [Google Scholar]
- Isermann, R. and Ballé, P. (1997) Trends in the Application of Model-Based Fault Detection and Diagnosis of Technical Processes. Control Engineering Practice, 5, 5, 709-719. [CrossRef] [Google Scholar]
- Iwasaki, S. and Simon, H. (1986), Causality in Device Behavior. Artificial Intelligence, 1-3, 29, 3-32. [Google Scholar]
- Kramer, M.A and Palowitch Jr. B.L. (1987) A Rule Based Approach to Fault Diagnosis Using the Signed Directed Graph. AIChE Journal, 33, 7, 1067-1078. [CrossRef] [Google Scholar]
- Leyval, L., Gentil, S. and Feray-Beaumont, S (1994) Model Based Causal Reasoning for Process Supervision. Automatica, 30, 8, 1295-1306. [Google Scholar]
- Maurya, M.R., Rengaswamy and R.,Venkatasubramanian, V. (2003) A Systematic Framework for the Development and Analysis of Signed Digraphs for Chemical Processes. A. Algorithm and Analysis. Ind. Eng. Chem. Res., 42, 4789-4810. [CrossRef] [Google Scholar]
- Montmain, J. and Gentil, S. (2000) Dynamic Causal Model Diagnostic Reasoning for Online Technical Process Supervision. Automatica, 36, 1137-1152. [CrossRef] [MathSciNet] [Google Scholar]
- Murota, K., (1991) Matrices and Matroids for System Analysis, Ed. Springer (Algorithms and Combinatorics). [Google Scholar]
- Patton, R. and Chen, J. (1991) A Review of Parity Space Approaches to Fault Diagnosis. Safe Process 91, IFAC symposium on Fault Detection, Supervision and Safety for Technical Processes, 1, 239-255. [Google Scholar]
- Porté, N., Boucheron, S., Sallantin, S. and Arlabosse, F. (1988) An Algorithmic View at Causal Ordering. Proc. of the 2nd International Workshop on Qualitative Physics QR’88, Paris. [Google Scholar]
- Rasmussen, J. (1993) Diagnostic Reasoning in Action. IEEE Trans. on Systems, Man and Cybernetics, 23, 4, 981-991. [CrossRef] [Google Scholar]
- Raider, and Mari Lyn (1996) Worldwide Refining, Oil & Gas Journal, 23, 52. [Google Scholar]
- Reiter, T. (1987) A Theory of Diagnosis from First Principles. Artificial Intelligence, 32, 57-95. [CrossRef] [Google Scholar]
- Sadeghbeigi, R.(2000) Fluid Catalytic Cracking Handbook, Gulf Publishing Company. [Google Scholar]
- Staroswiecki, M. and Comtet-Varga, G. (2001) Analytical Redundancy Relations for Fault Detection and Isolation in Algebric Dynamic Systems. Automatica, 3, 5, 697-699. [Google Scholar]
- Travé-Massuyès, L. and Pons, R. (1997) Causal Ordering for Multiple Mode Systems. Proc. of the 11th Int. Workshop on "Qualitative Reasoning about Physical Systems", Cortona. [Google Scholar]
- Travé-Massuyès, L. and Gentil, S. (1999) Artificial Intelligence Approaches for Supervision and Alarm Interpretation in Industrial Environment. Proc. of ECC99, Karlsruhe. [Google Scholar]
- Travé-Massuyès, L.,Escobet, L.,Pons, R. and Tornil, R. (2001) The Ca-En Diagnosis System and its Automatic Modeling Method. Computación i Sistemas Journal, 5, 2, 128-143. [Google Scholar]
- Travé-Massuyès, L. and Dague, P. (2003) Modèles et raisonnements qualitatifs, chap. 7 : Raisonnement causal en physique qualitative. In: Traité IC2 « Information, Commande, Communications », Hermès. [Google Scholar]
- Unger, J.,Kroner, A. and Marquadt, W. (1995) Structural Analysis of Differential-Algebraic Equation Systems-Theory and Applications. Computers chem. Engng, 19, 8, 867-882. [CrossRef] [Google Scholar]
Open Access
Numéro |
Oil & Gas Science and Technology - Rev. IFP
Volume 60, Numéro 4, July-August 2005
Dossier: Software Interoperability for Petroleum Applications
|
|
---|---|---|
Page(s) | 661 - 679 | |
DOI | https://doi.org/10.2516/ogst:2005047 | |
Publié en ligne | 1 décembre 2006 |
Les statistiques affichées correspondent au cumul d'une part des vues des résumés de l'article et d'autre part des vues et téléchargements de l'article plein-texte (PDF, Full-HTML, ePub... selon les formats disponibles) sur la platefome Vision4Press.
Les statistiques sont disponibles avec un délai de 48 à 96 heures et sont mises à jour quotidiennement en semaine.
Le chargement des statistiques peut être long.