Observer-based fault detection for nuclear reactors

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 2001.

Bibliographic Details
Main Author: Li, Qing
Other Authors: John A. Bernard and Michael W. Golay.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2006
Subjects:
Online Access:http://hdl.handle.net/1721.1/30005
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author Li, Qing
author2 John A. Bernard and Michael W. Golay.
author_facet John A. Bernard and Michael W. Golay.
Li, Qing
author_sort Li, Qing
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description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 2001.
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spelling mit-1721.1/300052022-02-03T03:31:03Z Observer-based fault detection for nuclear reactors Li, Qing John A. Bernard and Michael W. Golay. Massachusetts Institute of Technology. Dept. of Nuclear Engineering. Massachusetts Institute of Technology. Department of Nuclear Engineering Massachusetts Institute of Technology. Department of Nuclear Science and Engineering Nuclear Engineering. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 2001. Includes bibliographical references (p. 153-156). This is a study of fault detection for nuclear reactor systems. Basic concepts are derived from fundamental theories on system observers. Different types of fault- actuator fault, sensor fault, and system dynamics fault can be detected and localized by studying the asymptotic response of an error signal constructed from the system inputs, system outputs, and observer outputs. False alarm and failure to detect a fault are two decision errors when noise is considered. The goal here is to achieve a reasonable compromise. The two types of decision errors can be characterized by their respective first hitting time of a decision threshold. This in turn is dependent on the design of the observer and the decision rule. Costs corresponding to these two types of decision error are defined by cost functions that are in turn constructed based on experience and knowledge of the system operation. A method has been developed in this research to find an optimal design of the observer, the design of a frequency-dependent output filter, and a decision rule that could achieve the desired economic goals. This technique is applied to nuclear reactor systems and simulations are carried out. The one-group linear nuclear reactor model is used in the observer. The system is modeled by a one-group linear model and by a six-group non-linear model. Results show that this fault detection method can not only detect a fault but also localize it at the same time by constructing specially targeted fault detection filters. These fault detection filters are robust against measurement noise and modeling errors. by Qing Li. Ph.D. 2006-03-24T18:11:04Z 2006-03-24T18:11:04Z 2001 2001 Thesis http://hdl.handle.net/1721.1/30005 55011780 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 156 p. 4966739 bytes 4966547 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Nuclear Engineering.
Li, Qing
Observer-based fault detection for nuclear reactors
title Observer-based fault detection for nuclear reactors
title_full Observer-based fault detection for nuclear reactors
title_fullStr Observer-based fault detection for nuclear reactors
title_full_unstemmed Observer-based fault detection for nuclear reactors
title_short Observer-based fault detection for nuclear reactors
title_sort observer based fault detection for nuclear reactors
topic Nuclear Engineering.
url http://hdl.handle.net/1721.1/30005
work_keys_str_mv AT liqing observerbasedfaultdetectionfornuclearreactors