Survey of model-based failure detection and isolation in complex plants
- 1 December 1988
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Control Systems Magazine
- Vol. 8 (6) , 3-11
- https://doi.org/10.1109/37.9163
Abstract
Techniques to detect and isolate failures in complex technological systems, such as sensor biases, actuator malfunctions, leaks, and equipment deterioration are surveyed. The methods are based on analytical redundancy afforded by a mathematical model of the system. The main components of such techniques are residual generation using the model, signature generation by statistical testing, and signature analysis. Model-structural conditions for failure isolation are introduced together with transformation methods to implement them. Sensitivity and robustness considerations are presented, and a design framework based on model redundancy is proposed.Keywords
This publication has 31 references indexed in Scilit:
- Generating parity relations for detecting and identifying control system component failuresJournal of Guidance, Control, and Dynamics, 1988
- Optimum robust detection of changes in the AR part of a multivariable ARMA processIEEE Transactions on Automatic Control, 1987
- Sensor-failure detection method for flexible structuresJournal of Guidance, Control, and Dynamics, 1987
- Nonlinear filtering for systems with random structureIEEE Transactions on Automatic Control, 1986
- Application of expert system techniques to fault diagnosisThe Chemical Engineering Journal, 1984
- On-line failure detection in nuclear power plant instrumentationIEEE Transactions on Automatic Control, 1983
- Evaluation of Parity Equations for Gyro Failure Detection and IsolationJournal of Guidance and Control, 1978
- F-8 DFBW sensor failure identification using analytic redundancyIEEE Transactions on Automatic Control, 1977
- Estimation of flows and temperatures in process networksAIChE Journal, 1977
- A generalized likelihood ratio approach to the detection and estimation of jumps in linear systemsIEEE Transactions on Automatic Control, 1976