NDLI: Passive Robust Fault Detection of Dynamic Processes Using Interval Models

Content Provider	IEEE Xplore Digital Library
Author	Puig, V. Quevedo, J. Escobet, T. Nejjari, F. de las Heras, S.
Copyright Year	1993
Abstract	Model-based fault detection relies on the use of a model to check the consistency between the predicted and the measured (or observed) behavior of a system. However, there is always some mismatch between the modeled and the real process behavior. Then, any model-based fault detection algorithm should be robust against modeling errors. One possible approach to take into account modeling uncertainty is to include all the uncertainty in system parameters using an interval model that allows generating an adaptive threshold. In this paper, the use of interval models in robust fault detection considering three schemes (simulation, prediction, or observation) is presented and discussed. The main contribution is to present a comparative study that allows identifying the benefits and drawbacks of using each scheme. This study will provide a guideline for the use of the proposed fault detection schemes in real applications. Finally, an intelligent servoactuator, proposed as a benchmark in the context of European Research Training Network DAMADICS, is used to illustrate the application and the comparative study of these interval-based fault detection schemes.
Sponsorship	IEEE Control Systems Society
Starting Page	1083
Ending Page	1089
Page Count	7
File Size	609708
File Format	PDF
ISSN	10636536
Volume Number	16
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault detection Uncertainty Predictive models Noise robustness Uncertain systems Guidelines Intelligent networks Nonlinear dynamical systems Monitoring Automatic control uncertain systems interval model robustness servoactuator
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering

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