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• W2074441972 abstract "Algebraic approach for model decomposition: Application to fault detection and isolation in discrete-event systems This paper presents a constrained decomposition methodology with output injection to obtain decoupled partial models. Measured process outputs and decoupled partial model outputs are used to generate structured residuals for Fault Detection and Isolation (FDI). An algebraic framework is chosen to describe the decomposition method. The constraints of the decomposition ensure that the resulting partial model is decoupled from a given subset of inputs. Set theoretical notions are used to describe the decomposition methodology in the general case. The methodology is then detailed for discrete-event model decomposition using pair algebra concepts, and an extension of the output injection technique is used to relax the conservatism of the decomposition." @default.
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• W2074441972 date "2011-03-01" @default.
• W2074441972 modified "2023-10-10" @default.
• W2074441972 title "Algebraic approach for model decomposition: Application to fault detection and isolation in discrete-event systems" @default.
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• W2074441972 doi "https://doi.org/10.2478/v10006-011-0008-z" @default.
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