Abstract
We propose a method for failure detection in complex multi-variable multi-time scale systems. It consists in the introduction of redundancies in the global system, with overlapping transformations on the slow variables. This decomposition applied simultaneously with the singular perturbations method allows to build composite decentralised observers and to identify malfunctioning sensors. A comparison is made on an example between failure detection results obtained with full-rank composite observers and those deduced from the design of slow local subobservers.
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References
Dauphin-Tanguy G. (1986) ‘Failure detection by decentralised observers for complex multi-time scale systems’ Proc. of the International Conference on Analysis and Optimization of Systems, Antibes (France), Lectures Notes in Control and Information Sciences, Springer Verlag, pp. 668–679.
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© 1987 D. Reidel Publishing Company
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Dauphin-Tanguy, G., Borne, P. (1987). Composite Observers for Failure Detection in Multivariable Multi-Time Scale Systems. In: Tzafestas, S., Singh, M., Schmidt, G. (eds) System Fault Diagnostics, Reliability and Related Knowledge-Based Approaches. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3929-5_4
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DOI: https://doi.org/10.1007/978-94-009-3929-5_4
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-8243-3
Online ISBN: 978-94-009-3929-5
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