ogst
Home All issues Volume 60 / No 4 (July-August 2005) Oil & Gas Science and Technology - Rev. IFP, 60 4 (2005) 661-679 References
Open Access
Issue
Oil & Gas Science and Technology - Rev. IFP
Volume 60, Number 4, July-August 2005
Dossier: Software Interoperability for Petroleum Applications
Page(s) 661 - 679
DOI https://doi.org/10.2516/ogst:2005047
Published online 01 December 2006
  • 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]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.