Abstract
In this paper, we propose a new closed-loop multi-mode system identification setup that allows the jointly performed change point detection, fault diagnosis, supervised training of a bank of signature generators, unsupervised identification of the optimal filter, and monitored system accommodation on the basis of incomplete noisy data. We validate the setup by simulating numerical examples.
This work was supported in part by the Russian Ministry of Education (grant No. T02-03.2-3427).
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Semoushin, I. (2003). Jointly Performed Computational Tasks in the Multi-mode System Identification. In: Sloot, P.M.A., Abramson, D., Bogdanov, A.V., Gorbachev, Y.E., Dongarra, J.J., Zomaya, A.Y. (eds) Computational Science — ICCS 2003. ICCS 2003. Lecture Notes in Computer Science, vol 2658. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44862-4_43
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DOI: https://doi.org/10.1007/3-540-44862-4_43
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