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A data fusion based approach for damage detection in linear systems

机译:基于数据融合的线性系统损伤检测方法

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The aim of the present paper is to propose innovative approaches able to improve the capability ofclassical damage indicators in detecting the damage position in linear systems. In particular, starting fromclassical indicators based on the change of the flexibility matrix and on the change of the modal strain energy,the proposed approaches consider two data fusion procedures both based on the Dempster-Shafer theory.Numerical applications are reported in the paper in order to assess the reliability of the proposed approachesconsidering different damage scenarios, different sets of modes of vibration and the presence of errors affectingthe accounted modes of vibrations.
机译:本文的目的是提出创新的方法,能够提高经典损伤指标在线性系统中检测损伤位置的能力。尤其是从基于柔性矩阵变化和模态应变能变化的经典指标开始,本文提出的方法考虑了两种均基于Dempster-Shafer理论的数据融合程序。评估建议的方法的可靠性,该方法考虑了不同的损坏场景,不同的振动模式集以及影响振动模式的错误的存在。

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