On Sensor FDI by Functional and Physical Redundancy Applied to DP Systems

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R. Ferreiro
R. Haro
J.L. Calvo

Abstract

The research work is focused on sensors fault detection and isolation (FDI), exploiting the synergy of functional and physical redundancy. Functional and physical redundancy is applied under a novel methodological approach to isolate individual sensor faults. The contribution uses a heuristic algorithm which combines a rule based strategy associated to a process parameter identification procedure to be applied on instrumentation FDI tasks. Implementation procedure is carried out on a dynamic positioning system (DP) equipped with supervision facilities, which efficiently manage databases, rule based systems and appropriate identification algorithms on a simulation basis.

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Author Biographies

R. Ferreiro

Professor. University of A Coruna, ETS. Náutica y Máquinas, Paseo de Ronda, A Coruna, Spain.

R. Haro

Professor. University of Cadiz, Facultad de Ciencias Nauticas, Cadiz, Spain.

J.L. Calvo

University of A Coruna.