NDLI: A failure detection method for systems with poorly known parameters

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Proceedings. ICCON IEEE International Conference on Control and Applications

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A failure detection method for systems with poorly known parameters

Content Provider	IEEE Xplore Digital Library
Author	Chun Yang Bertrand, P. Mariton, M.
Copyright Year	1989
Description	Author affiliation: C.N.R.S. - E.S.E. (Chun Yang)
Abstract	Failure detection and isolation (FDI) is an essential part of any fault-tolerant control system: it is needed to remove the impact of the failed component and to adapt the system through a reconfiguration of control and filtering algorithms. There exists a large body of literature on the FDI problem but unfortunately many of these methods are inapplicable when, as is most often encountered in practice, the process parameters are poorly known, before as well as after the incident. Exploiting the potential of adaptive estimation, the purpose of this paper is to propose a new approach, based on a master slave pair of algorithms where the slave is triggered during the transient stage. Initial analysis and simulations show that this method offers simplicity, with few coefficients to tune, and performance, with fast and reliable detection.
Starting Page	76
Ending Page	80
File Size	511732
Page Count	5
File Format	PDF
DOI	10.1109/ICCON.1989.770098
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1989-04-03
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Actuators Fault detection Fault tolerant systems Redundancy Filtering algorithms Master-slave Control systems Power system reliability Adaptive estimation Performance analysis
Content Type	Text
Resource Type	Article

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