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- W1548018082 abstract "Modelling uncertainty is inevitable for most systems. Residual robustness with respect to modelling uncertainty is one of the most important issues in any practical fault diagnosis scheme. A significant class of model-based fault detection and isolation structure uses observers to generate residuals. Infinite dynamic observer memory inflicts a phenomenon generally referred as divergence. To overcome this drawback, a structure which intrinsically has finite process memory is proposed. Observer residuals give a possibility to check up explicitly how the more recent measurements which are suspected to be provided by a faulty sensor fit the process history. This paper presents extensions and improvements on the finite memory observer. The main contribution is to incorporate the parity relation design and observer into a diagnosis scheme. The application of the finite memory observer to the sensor fault detection problem is illustrated by a numerical example." @default.
- W1548018082 created "2016-06-24" @default.
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- W1548018082 date "2005-08-24" @default.
- W1548018082 modified "2023-10-02" @default.
- W1548018082 title "A finite memory observer approach to the design of fault detection algorithms" @default.
- W1548018082 cites W2026219466 @default.
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- W1548018082 doi "https://doi.org/10.1109/acc.1994.735250" @default.
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