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- W106255086 abstract "The goal of this work is to propose a model calibration strategy for an industrial problem consisting in a MW class geared wind turbine power train subjected to uncertain loads. Lack of knowledge is commonplace in this kind of engineering system and a realistic model calibration cannot be performed without taking into account this type of uncertainty. The question at stake in this study is how to perform a robust predictive model of a dynamic system given that the excitations are poorly known. The uncertainty in the latter will be represented with an info-gap model. The tradeoff between fidelity to data and robustness to uncertainty is then investigated in order to maximize the robustness of the prediction error at a given horizon of uncertainty. This methodology is illustrated on a simple academic model and on a more complex engineering system representing a wind turbine geared power train." @default.
- W106255086 created "2016-06-24" @default.
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- W106255086 date "2013-01-01" @default.
- W106255086 modified "2023-09-27" @default.
- W106255086 title "Robust Model Calibration with Load Uncertainties" @default.
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- W106255086 doi "https://doi.org/10.1007/978-1-4614-6564-5_10" @default.
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