Robust fault detection linear interval observers avoiding the wrapping effect

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 17, Issue 1 PART 1, 2008, Pages

  Meseguer, Jordi ^a   Puig, Vicenc ^a   Escobet, Teresa ^a  

^a NONE

Author keywords

Methods based on discrete event models, on hybrid or on qualitative models for FDI; Observer based and parity space based methods for FDI

Indexed keywords

ADAPTIVE THRESHOLDS; COMPUTATIONAL ALGORITHM; EXAMPLE BASED; INTERVAL MODELS; INTERVAL OBSERVERS; LINEAR INTERVALS; METHODS BASED ON DISCRETE EVENT MODELS, ON HYBRID OR ON QUALITATIVE MODELS FOR FDI; MODEL PARAMETERS; MODEL UNCERTAINTIES; MODEL-BASED FAULT DETECTION; OBSERVER BASED AND PARITY SPACE BASED METHODS FOR FDI; OBSERVER GAIN; OPTIMAL THRESHOLD; REGION-BASED; ROBUST FAULT DETECTION; SERVOACTUATOR; TIME EVOLUTIONS;

COMPUTATION THEORY; ELECTRIC FAULT LOCATION; KNOWLEDGE BASED SYSTEMS; UNCERTAINTY ANALYSIS;

FAULT DETECTION;

EID: 79961019144     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20080706-5-KR-1001.1452     Document Type: Conference Paper

References (16)

1. Armengol, J, Vehi, J, Trav-Massuys, L., Sainz, M., Interval Fault Detection using Multiple Sliding Windows. IFAC Safeprocess Hungary. 2000
2. Bartys, M. (2002). Specification of Actuators Intended to Use for Benchmark Definition, DAMADICS Internal Report, http:// diag.mchtr.pw.edu.pl/ damadics.
3. Chen J. and R.J. Patton (1999). Robust Model-Based Fault Diagnosis for Dynamic Systems. Kluwer Academic Publishers.
4. Chow, E., Willsky, A. (1984) Analytical redundancy and the design of robust failure detection systems. IEEE Transactions on Automatic Control, Volume:29 , Issue:7 , Jul 1984 , Pages: 603-614.
5. Cuguer, P., Puig, V., Saludes, J., Escobet, T. A Class of Uncertain Linear Interval Models for which a Set Based Robust Simulation can be Reduced to Few Pointwise Simulations. In Proceedings of Conference on Decision and Control 2002 (CDC 02). Las Vegas. USA. 2002.
6. Fagarasan, I., Ploix, S., Gentil, S. Causal fault detection and isolation based on a set-membership approach Automatica, pp. 2099-2110, 2004.
7. Gertler J.J. (1998). Fault Detection and Diagnosis in Engineering Systems. Marcel Dekker.
8. Horak, D.T. Failure detection in dynamic systems with modelling errors. J. Guidance, Control and Dynamics, 11 (6), 508-516. 1988.
9. Khn, W. (1998) Rigorously computed orbits of dynamical systems without the wrapping effect. Computing, 61(1), pp. 47-67. 1998.
10. Meseguer, J., Puig, V., Escobet, T. (2007). Observer Gain Effect in Linear Interval Observer-based Fault Detection CDC 07 . New Orleans. USA. (Pubitemid 351277283)
11. Ploix, S. Adrot, O., Ragot, J. (1999). Parameter Uncertainty Computation in Static Linear Models. 38th IEEE Conference on Decision and Control. Phoenix. Arizona. USA.
12. Ploix, S. and Adrot, O. (2006) Parity relations for linear uncertain dynamic systems, Automatica, vol.42, p. 1553-1562. (Pubitemid 44080736)
13. Puig, V., Quevedo, J., Escobet, T., De las Heras, S. (2002) Robust Fault Detection Approaches using Interval Models. IFAC World Congress (b 02). Barcelona. Spain. 2002.
14. Puig, V., Quevedo, J., Escobet, T., Stancu, A. (2003a) Passive Robust Fault Detection using Linear Interval Observers. IFAC Safe Process, 2003. Washington. USA.
15. Puig, V., Saludes, J., Quevedo, J. (2003b) Worst-Case Simulation of Discrete Linear Time-Invariant Dynamic Systems, Reliable Computing 9(4): 251-290, August.
16. Puig, V., Stancu, A., Quevedo, J. (2005). Set versus Trajectory based Approaches to Interval Observation. Conference on Decision and Control & European Control Conference (CDC-ECC 05). Sevilla. Spain.