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- W1969685004 abstract "Data reconciliation and gross error detection are techniques used for improving the accuracy of data so that they satisfy the plant model. This paper present a method to identify and estimate gross errors for linear dynamic systems. An appliation is made in the domain of renewable energies, in particular the doubly fed induction generator (D.F.I.G) of a wind turbine. A dynamic integral measurement test is used to identify measurements as suspects of gross error. The method presented in a previous paper [1] is extended to allow gross error estimation." @default.
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- W1969685004 date "2006-07-01" @default.
- W1969685004 modified "2023-09-23" @default.
- W1969685004 title "Gross Error Detection of the Generator of a Wind Turbine" @default.
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- W1969685004 doi "https://doi.org/10.1109/iseima.2006.344954" @default.
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