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Application of moving horizon estimation based fault detection to cold tandem steel mill

Author(s):

M. Tyler, K. Asano, M. Morari
Conference/Journal:

International Journal of Control, vol. 73, no. 5, pp. 427-438
Abstract:

For a class of model uncertainty descriptions, plant/model mismatch can be directly incorporated into a model based fault detection scheme using Moving Horizon Estimation. The model uncertainty is represented by a set of bounded parameters which can be used to alter the dynamics of the model through injection of the measured output as well as inputs. The uncertainty class includes gain uncertainty as well as uncertainty in pole locations. Using a bank of filters, detection of exclusive fault scenarios can be accomplished. The proposed method is compared to other methods employing an adaptive threshold, and is demonstrated on a simulation example of a cold tandem steel mill.

Year:

2000
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@Article { TylAsa:2000:IFA_527,
    author={M. Tyler and K. Asano and M. Morari},
    title={{Application of moving horizon estimation based fault
	  detection to cold tandem steel mill}},
    journal={International Journal of Control},
    year={2000},
    volume={73},
    number={5},
    pages={427--438},
    month=mar,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=527}
}
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