E. Frisk and M. Nyberg, `Using minimal polynomial bases for fault diagnosis', in European Control Conference, Karlsruhe, Germany, (1999). Home/Search Document Details and Download
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Residual Generation in Stochastic Systems - A Polynomial Approach - Frisk Self-citation (Frisk) (Correct)
....be zero in the fault free case regardless of any unknown disturbances and non zero in case of a fault. For deterministic systems, this is a well studied area (W unnenberg, 1990; Massoumnia et al. 1989; Nikoukhah, 1994; Chow and Willsky, 1984; Gertler, 1991) to name but a few. In previous works, (Frisk and Nyberg, 2001, 1999; Nyberg and Frisk, 1999) design algorithms and analysis tools were developed based on polynomial methods, instead of parity space based approaches or observer based approaches. The polynomial approach proved to be very well suited to answer many fundamental questions regarding e.g. complexity of ....
....of any unknown disturbances and non zero in case of a fault. For deterministic systems, this is a well studied area (W unnenberg, 1990; Massoumnia et al. 1989; Nikoukhah, 1994; Chow and Willsky, 1984; Gertler, 1991) to name but a few. In previous works, Frisk and Nyberg, 2001, 1999; Nyberg and Frisk, 1999), design algorithms and analysis tools were developed based on polynomial methods, instead of parity space based approaches or observer based approaches. The polynomial approach proved to be very well suited to answer many fundamental questions regarding e.g. complexity of residual generators, ....
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E. Frisk and M. Nyberg. Using minimal polynomial bases for fault diagnosis. European Control Conference, 1999.
Using Minimal Polynomial Bases for Model-Based Fault Diagnosis .. - Frisk, Nyberg (1999) Self-citation (Frisk Nyberg) (Correct)
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Frisk, E. & Nyberg, M. (1999b). Using minimal polynomial bases for fault diagnosis, European Control Conference, Karlsruhe, Germany.
A Transfer Function Approach to Fault Diagnosis for Linear - Systems Inversion And (Correct)
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E. Frisk and M. Nyberg, `Using minimal polynomial bases for fault diagnosis', in European Control Conference, Karlsruhe, Germany, (1999).
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