Browsing by Author "Baigalmaa Purevdorj"

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    The optimal sensor placements for vibration based damage detection of wind turbine tower
    (German Mongolian Institute for Resouce and Technology, 2022-05-16) Baigalmaa Purevdorj; Sungchil Lee; Odbileg Norovrinchen
    Objective of this thesis is to find optimal sensor placements regarding vibration-based damage by utilizing modal parameters of a structure. The location of sensors is crucial for correct identification of the mode shapes of complicated mechanical structures. In this study, a specific model of a 100m wind tower was analyzed to determine the optimal sensor placement algorithm for vibration-based damage detection. The vibration-based damage detection was conducted to the system and damage was localized using a mode shape-based damage identification technique. The optimal sensor placements were obtained by minimization of weighted off-diagonal elements, QR decomposition, the genetic algorithm with maximum errorand the genetic algorithm with weighted off-diagonal criteria. Among these three algorithms, the genetic algorithm with weighted off-diagonal criteria yielded the most effective sensor placements for the highest damage detection accuracy.