Dynamic diagnosis based on interval analytical redundancy relations and signs of the symptoms

AI Communications

Volumn 20, Issue 1, 2007, Pages 39-47

  Calderón Espinoza, Gabriela ^a   Armengol, Joaquim ^a   Vehí, Josep ^a   Gelso, Esteban R ^a  

^a UNIVERSITY OF GIRONA   (Spain)

Author keywords

Consistency based diagnosis; Fault models; Model based diagnosis; Uncertain dynamic systems

Indexed keywords

CONSISTENCY BASED DIAGNOSIS; FAULT MODELS; MODEL BASED DIAGNOSIS; UNCERTAIN DYNAMIC SYSTEMS;

DIFFERENTIATION (CALCULUS); DYNAMICAL SYSTEMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; UNCERTAIN SYSTEMS;

FAILURE ANALYSIS;

EID: 34248138441     PISSN: 09217126     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. J. Armengol, Application of Modal Interval Analysis to the simulation of the behavior of dynamic systems with uncertain parameters, PhD Thesis, Universitat de Girona, Spain, 1999.
2. J. Armengol, J. Vehí, L. Travé-Massuyès and M. Sainz, Application of multiple sliding time windows to fault detection based on interval models, in: 12th International Workshop on Principles of Diagnosis DX, Italy, 2001.
3. J. Armengol, J. Vehí, M.Á. Sainz and P. Herrero, Fault detection in a pilot plant using interval models and multiple sliding time windows, in: Proceedings of the IFAC - Safeprocess 2003, Washington, DC, 2003.
4. J. Armengol, J. Vehí, M.Á. Sainz and P. Herrero, Industrial application of a fault detection tool based on interval models, in: International Conference on Integrated Modeling and Analysis in Applied Control and Automation 2004 (IMAACA 2004), International Mediterranean Modeling Multiconference (I3M 2004), volume 2, Bergeggi, Genoa, 2004, pp. 150-157.
5. G. Calderón, J. Armengol, M.A. Sainz and P. Herrero, Combining interval and qualitative reasoning for fault diagnosis, in: Proceedings of 16th IFAC World Congress, Prague, 2005.
6. I.C. Chang, C.C. Yu and C.T. Liou, Model-based approach for fault diagnosis: Part I. Principles of deep model algorithm, Ind. Eng. Chem. Res. 33 (1994), 1542-1555.
7. CHEM Consortium, Advanced Decision Support System for Chemical/Petrochemical Manufacturing Processes, http://www.chem-dss.org (2000).
8. L. Console, G. Correndo and C. Picardi, Deriving qualitative deviations from Matlab models, in: 14th International Workshop on Principles of Diagnosis DX, 2003.
9. M.O. Cordier, P. Dague, F. Lévy, J. Montmain, M. Staroswiecki and L. Travé-Massuyès, Conflicts versus analytical redundancy relations: a comparative analysis of the model based diagnosis approach from the artificial intelligence and automatic control perspectives, IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics 34(5) (2004), 2163-2177.
10. J.J. Gertler, Fault Detection and Diagnosis in Engineering Systems, Marcel Dekker, New York, 1998.
11. W. Hamscher, L. Console and J. de Kleer, Readings in Modelbased Diagnosis, Morgan Kaufmann, San Francisco, CA, USA, 1992.
12. R. Leitch, M. Chantler, K. Brown, T.N. Kane, Q. Shen, G. Coghill, A. Steele, A. Aldea, J. Liddle, S. McDonnchadha, D. Reay and M. Ravindranathan, Modelling choices in intelligent systems, Journal of Artificial Intelligence and Simulation of Behaviour (1995), 54-60.
13. X. Olive, L. Travé-Massuyès and J. Thomas, Complementing an interval based diagnosis method with sign reasoning in the automotive domain, in: Proceedings of the IFAC - Safeprocess 2003, Washington, DC, 2003.
14. R.J. Patton, P.M. Frank and R.N. Clark, Issues of Fault Diagnosis for Dynamic Systems, Springer, London, 2000.
15. S. Ploix and C. Follot, Fault diagnosis reasoning for setmembership approaches and application, in: CCA/ISIC'01, Mexico, 2001.
16. V. Puig, J. Quevedo, T. Escobet and S. Tornil, Model based fault diagnosis of dynamic processes: comparing FDI and DX methodologies, in: IV Jornadas de ARCA: Sistemas Cualitativos y Diagnosis, Vilanova i la Geltrú, Barcelona, Catalonia, Spain, 2002, pp. 91-99.
17. V. Puig, J. Quevedo, T. Escobet and B. Pulido, On the integration of fault detection and isolation in model-based fault diagnosis, in: 15th International Workshop on principles of diagnosis DX, 2004, pp. 227-232.
18. B. Pulido and C. Alonso Gonzalez, Possible conflicts: a compilation technique for consistency-based diagnosis, IEEE Trans-actions on Systems, Man, and Cybernetics - Part B: Cybernetics 34(5) (2004), 2192-2206.
19. R. Reiter, A theory of diagnosis from first principles, Artificial Intelligence 32 (1987), 57-95.
20. M.Á. Sainz, J. Armengol and J. Vehí, Fault detection and isolation of the three-tank system using the modal interval analysis, Journal of Process Control 12(2) (2002), 325-338.
21. SIGLA/X, Applications of interval analysis to system and control, in: Proceedings of MISC99, Girona, Spain, 1999, Ch. Modal Intervals, pp. 157-227.