A set based approach to detection and isolation of faults in multivariable systems

Computers and Chemical Engineering

Volumn 25, Issue 7-8, 2001, Pages 925-940

  Kesavan, Parthasarathy ^a   Lee, Jay H ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

Isolation of faults; Multivariable systems; Recursive optimal bounding parallelotope

Indexed keywords

ALGORITHMS; CLOSED LOOP CONTROL SYSTEMS; ELECTRIC FAULT LOCATION; HEAT EXCHANGERS; OPTIMIZATION; SPURIOUS SIGNAL NOISE;

CLOSED-LOOP MULTIVARIABLE SYSTEMS;

MULTIVARIABLE SYSTEMS;

FAULT DETECTION;

ALGORITHM; ARTICLE; CHEMICAL ENGINEERING; MEASUREMENT; METHODOLOGY; NOISE; SIGNAL DETECTION;

EID: 0035881461     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(00)00315-X     Document Type: Article

References (28)

1. Recursive state bounding by parallelotopes
2. Recursive set membership state estimation via parallelotopes
3. Computing bounds for a simple fault detection scheme
4. On the value of information in system identification - Bounded noise case
5. Process fault detection based on modeling and estimation methods - A survey
6. Inconsistencies in dynamic models for ill-conditioned plants: Applications to low-order models of distillation columns
7. Diagnostic tools for multivariable model-based control systems
8. Nonlinear principal component analysis using autoassociative neural networks
9. Multivariate statistical monitoring of process operating performance
10. Use of state estimation for statistical process control
11. Use of principal component analysis for process monitoring and disturbance isolation
12. On-line statistical process control
13. An innovations approach to fault detection and diagnosis in dynamic systems
14. Optimal estimation theory for dynamic systems with set membership uncertainty: An overview
15. Statistical monitoring of multivariate dynamic processes with state space models
16. Monitoring batch processes using multiway principal component analysis
17. A detection-estimation scheme for state estimation in switching environments
18. Application of moving horizon estimation based fault detection to cold tandem steel mill
19. Propositional logic in control and monitoring problems
20. A neural network methodology for process fault diagnosis
21. Sequential approximation of feasible parameter sets for identification with set membership uncertainty
22. Exact recursive polyhedral description of the feasible parameter set for bounded-error models
23. Incipient fault diagnosis of chemical processes via artificial neural networks
24. A survey of design methods for failure detection in dynamical systems
25. A generalized likelihood ratio approach to state estimation in linear systems subject to abrupt changes