Fault diagnosability utilizing quasi-static and structural modelling

Mathematical and Computer Modelling

Volumn 45, Issue 5-6, 2007, Pages 606-616

  Nejjari, F ^a   Perez, R ^a   Escobet, T ^a   Trave Massuyes L ^b  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

Diagnosability; FDI; Quasi static model; Structural analysis

Indexed keywords

BENCHMARKING; COMPUTATIONAL METHODS; COMPUTER SIMULATION; MATHEMATICAL MODELS; SENSORS; STRUCTURAL ANALYSIS;

DIAGNOSABILITY; FDI; QUASI-STATIC MODEL;

FAULT TOLERANT COMPUTER SYSTEMS;

EID: 33751415704     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2006.06.008     Document Type: Article

References (16)

1. Blanke M., Kinnaert M., Lunze J., and Staroswiecki M. Diagnosis and Fault-tolerant Control (2003), Springer
2. Mosterman P., and Biswas G. Diagnosis of continuous valued systems in transient operating regions. IEEE Trans. Syst. Man Cybern. 29 6 (1999) 554-565
3. Nybert M. Criterions for detectability and strong detectability of faults in linear systems. Int. J. Control 75 7 (2002) 490-501
4. T. Carpentier, Placement de capteurs pour la surveillance des processus complexes. Ph.D. Thesis of the Université des Sciences et Technologies de Lille, France, 1999
5. M. Krysander, M. Nybert, Structural analysis utilizing MSS sets with application to paper plant, in: The 13th International Conference of Principles of Diagnosis DX'02, Semmering, Austria, 2002
6. Cordier M.O., Dague P., Lvy F., Montmain J., Staroswiecki M., and Travé-Massuyès L. Conflicts versus analytical redundancy relations: A comparative analysis of the model-based diagnosis approach from the artificial intelligence and automatic control perspectives. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 34 5 (2004) 2163-2177
7. Staroswiecki M., and Comtet-Varga G. Analytical redundancy relations for fault detection and isolation in algebraic dynamic systems. Automatica 37 5 (2001) 687-699
8. Nikoukhah R. A new methodology for observer design and implementation. IEEE Trans. Automat. Control 43 2 (1998) 229-234
9. Gertler J.J. Survey on model based failure detection and isolation in complex plant. IEEE Control Syst. Mag. 8 6 (1988) 3-11
10. M. Staroswiecki, P. Declerck, Analytical redundancy in non-linear interconnected systems by means of structural analysis, in: IFAC Advanced Information Processing in Automatic Control AIPAC'89, Nancy, France, 1989, pp. 23-27
11. L. Travé-Massuyès, T. Escobet, S. Spanache, Diagnosability analysis based on component supported analytical redundancy relations, in: IFAC Symp. Fault Detection, Supervision, Safety Technical Processes SAFEPROCESS'03, Washington DC, USA, 2003
12. http://www.festo-didactic.com/didactic/
13. R. Perez, Identifiability and calibration of water network models, Ph.D. Thesis of the Technical University of Catalunya, Spain, 2003
14. Travé-Massuyès L., Escobet T., and Olive X. Diagnosability analysis based on component supported analytical redundancy relations. IEEE Trans. Syst. Man Cybern. Part A: Syst. Humans 36 6 (2006)
15. L. Travé-Massuyès, M.-O. Cordier, X. Pucel, Comparing diagnosability in continuous systems and discrete event systems, in: IFAC Symp. Fault Detection, Supervision, Safety Technical Processes SAFEPROCESS 06, Beijing, China, 2006
16. S. Spanache, T. Escobet, L. Travé-Massuyès, Sensor placement optimisation using genetic algorithms, in: 15th International Workshop on Principles of Diagnosis DX'04, Carcassonne, France, 23-25 June 2004