State estimation schemes for fault detection and diagnosis in dynamic systems
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Publication:4693336
DOI10.1080/00207729308949537zbMath0781.93008OpenAlexW1970482814WikidataQ126250326 ScholiaQ126250326MaRDI QIDQ4693336
W. Fred Ramirez, Józef Korbicz, Zohreh Fathi
Publication date: 7 February 1994
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207729308949537
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- Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy - a survey and some new results
- Process fault detection based on modeling and estimation methods - a survey
- A new structural framework for parity equation-based failure detection and isolation
- Detection of abrupt changes in signals and dynamical systems. (Proceedings of a Conference on Detection of Abrupt Changes in Signals and Dynamical Systems, Paris, March 21-22, 1984)
- Detecting changes in signals and systems - a survey
- A survey of design methods for failure detection in dynamic systems
- Stochastic processes and filtering theory
- Identification of unknown parameters in linear discrete-time systems by a modified extended Kalman filter
- Detection of abrupt change and trend in the time series
- Instrument fault detection in systems with uncertainties
- False alarm and correct detection probabilities over a time interval for restricted classes of failure detection algorithms
- The application of nonlinear filtering to fault detection in linear systems
- Robustness and computational aspects of nonlinear stochastic estimators and regulators
- A sequential failure detection approach and the identification of failure parameters
- Nonlinear filtering for systems with random structure
- Learning algorithms of layered neural networks via extended Kalman filters
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