F. Lafont, N. Pessel, J. F. Balmat



This paper presents a new approach for the model-based diagnosis. The model is based on an adaptation with a variable forgetting factor. The variation of this factor is managed thanks to fuzzy logic. Thus, we propose a design method of a diagnosis system for the sensors defaults. In this study, the adaptive model is developed theoretically for the Multiple-Input Multiple-Output (MIMO) systems. We present the design stages of the fuzzy adaptive model and we give details of the Fault Detection and Isolation (FDI) principle. This approach is validated with a benchmark: a hydraulic process with three tanks. Different defaults (sensors) are simulated with the fuzzy adaptive model and the fuzzy approach for the diagnosis is compared with the residues method. The first results obtained are promising and seem applicable to a set of MIMO systems.


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Paper Citation

in Harvard Style

Lafont F., Pessel N. and F. Balmat J. (2007). A FUZZY PARAMETRIC APPROACH FOR THE MODEL-BASED DIAGNOSIS . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-972-8865-82-5, pages 25-31. DOI: 10.5220/0001620100250031

in Bibtex Style

author={F. Lafont and N. Pessel and J. F. Balmat},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},

in EndNote Style

JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
SN - 978-972-8865-82-5
AU - Lafont F.
AU - Pessel N.
AU - F. Balmat J.
PY - 2007
SP - 25
EP - 31
DO - 10.5220/0001620100250031