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MRS-kNN fault detection method for multirate sampling process based variable grouping threshold

JOURNAL OF process CONTROL 2020年第0期85卷 149-158页

作者： Feng, Jian Li, Keqin Northeastern Univ Sch Informat Sci & Engn Shenyang 110819 Peoples R China

For the multirate sampling process, some traditional multivariate statistical process monitoring methods cannot perform well because the lengths of all samples are not consistent. To handle this problem, a multirate sampling k-nearest neighbor fault detection method is proposed in this paper. The training sample set is divided into different groups according to the length of the sample to ensure that the sample length of each group is uniform. For all the groups, we can get a variable threshold corresponding to samples of different lengths. Also, this model can be developed into one that is suitable for fault detection of various sampling rate processes. Finally, the effectiveness of the proposed method is demonstrated by the simulation experiments on a numerical example and an industrial process. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： multirate sampling process Fault detection Group modeling Variable threshold k-Nearest Neighbor

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On-line estimation of the reaction rates in bioreactors from multirate sampled outputs with multiple delays 12

On-line estimation of the reaction rates in bioreactors from...

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12th International-Federation-of-Automatic-Control (IFAC) Symposium on Dynamics and Control of process Systems including Biosystems (DYCOPS)

作者： Treangle, C. Farza, M. M'Saad, M. Normandie Univ UNICAEN ENSICAEN LAC F-14000 Caen France

This paper provides a simple high gain continuous-discrete time observer to handle the estimation problem of the reaction rates in bioreactors using delayed sampled measurements of the component concentrations in the context of multirate sampling of the outputs each one of which is affected by a constant delay. The rational behind the proposed observer design consists in the consideration of an appropriate corrective term provided by a linear Delay Differential Equation (DDE), which accounts for different sampling periods associated to the outputs as well as the underlying delays. The convergence analysis is performed thanks to a comprehensive Lyapunov approach under a well-defined condition on the sum of the maximum value of the sampling periods and of the output delays. The exponential convergence to zero of the underlying convergence error is established in the case of constant reaction rates. In the case where these rates are time-varying, the asymptotic estimation error admits an ultimate bound which can be made as small as desired by choosing appropriate values of the observer design parameters. The performance of the proposed observer and its main properties are highlighted through a fermentation process dealing with ethanol production. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： High gain observer Continuous-discrete time observer multirate sampling process Output delay Reaction rates Bioreactor

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On-line estimation of the reaction rates in bioreactors from multirate sampled outputs with multiple delays

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IFAC-PapersOnLine 2019年第1期52卷 703-708页

作者： C. Tréangle M. Farza M. M’Saad Normandie Univ UNICAEN ENSICAEN LAC 14000 Caen France

This paper provides a simple high gain continuous-discrete time observer to handle the estimation problem of the reaction rates in bioreactors using delayed sampled measurements of the component concentrations in the context of multirate sampling of the outputs each one of which is affected by a constant delay The rational behind the proposed observer design consists in the consideration of an appropriate corrective term provided by a linear Delay Differential Equation (DDE), which accounts for different sampling periods associated to the outputs as well as the underlying delays. The convergence analysis is performed thanks to a comprehensive Lyapunov approach under a well-defined condition on the sum of the maximum value of the sampling periods and of the output delays. The exponential convergence to zero of the underlying convergence error is established in the case of constant reaction rates. In the case where these rates are time-varying, the asymptotic estimation error admits an ultimate bound which can be made as small as desired by choosing appropriate values of the observer design parameters. The performance of the proposed observer and its main properties are highlighted through a fermentation process dealing with ethanol production.

关键词： High gain observer Continuous-discrete time observer multirate sampling process Output delay Reaction rates Bioreactor

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