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Validation de données et observabilité des systèmes multilinéaires

Abstract : The aim of this study is to investigate data validation and observability of miltilinear systems to diagnose instrumentation in a process. Data validation and observability in linear systems are first reviewed and these notions are extended to multilinear systems. Differents methods such as hierarchical computation, constraint linearization and penalization functions, are presented to estimate true values when some values are lacking. After comparing the different methods, a recurrent calculus of estimates using constraint linearization and penalization functions is developed. An observable system is required in order to perform data validation. Thus, we developed an original method, based on arborescent diagrams. The technique of data validation has been successfully applied to a complex uranium processing plant owned by the French company Total Compagnie Minière France. On this partially instrumented process, measurements for volumic flow, density and uranium in both solid and liquid phase are available. The analysis allows first to obtain coherent date. Furthemore, it can be used to detect sensors faults
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Submitted on : Thursday, March 29, 2018 - 1:32:57 PM
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  • HAL Id : tel-01752128, version 1



Nicolas Heraud. Validation de données et observabilité des systèmes multilinéaires. Autre. Institut National Polytechnique de Lorraine, 1991. Français. ⟨NNT : 1991INPL082N⟩. ⟨tel-01752128⟩



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