Predictive monitoring for abnormal situation management

Journal of Process Control

Volumn 11, Issue 2, 2001, Pages 111-128

  Juricek, Ben C ^a   Seborg, Dale E ^a   Larimore, Wallace E ^b  

^a University of California   (United States)

^b Adaptics Inc   (United States)

Author keywords

Emergency limits; Prediction; Process monitoring

Indexed keywords

COMPUTER SIMULATION; DECISION THEORY; KALMAN FILTERING; MATHEMATICAL MODELS; MONITORING; PARAMETER ESTIMATION; PREDICTIVE CONTROL SYSTEMS;

ABNORMAL SITUATION MANAGEMENT; DYNAMIC MODELS; PROCESS MONITORING METHOD;

PROCESS CONTROL;

EID: 0035310481     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0959-1524(00)00043-3     Document Type: Article

References (29)

1. Adequately address abnormal operations
2. Fault diagnosis in dynamic systems using analytical and knowledge-based redundacy
3. Integration of fault detection and diagnosis methods
4. Process data analysis and interpretation
5. Model-based monitoring
6. Intelligent systems in process engineering: A review
7. A survey of design methods for failure detection in dynamic systems
8. Optimal filtering and robust fault diagnosis of stochastic systems with unknown disturbances
9. Survey of robust residual generation and evaluation methods in observer-based fault detection systems
10. Robust model-based fault diagnosis: The state of the art
11. Early detection of alarm situations using model predictions
12. Monitoring of batch processes using multi-way PCA
13. Predictive on-line monitoring of continuous processes
14. Implementation of adaptive optimal operation for a semi-batch reaction system
15. Model predictive control with state estimation
16. An overview of industrial model predictive control technology
17. Treatment of bias in recursive filtering
18. Unbiased minimum variance estimation for systems with unknown exogenous inputs
19. Separate-bias estimation with reduced-order Kalman filters
20. Information criteria for residual generation and fault detection and isolation