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    Impact Damage Identification for Composite Material Based on Transmissibility Function and OS-ELM Algorithm

    Yajie Sun1,2,*, Yanqing Yuan2, Qi Wang2, Sai Ji1,2, Lihua Wang3, Shaoen Wu4, Jie Chen2, Qin Zhang2

    Journal of Quantum Computing, Vol.1, No.1, pp. 1-8, 2019, DOI:10.32604/jqc.2019.05788

    Abstract A method is proposed based on the transmissibility function and the Online Sequence Extreme Learning Machine (OS-ELM) algorithm, which is applied to the impact damage of composite materials. First of all, the transmissibility functions of the undamaged signals and the damage signals at different points are calculated. Secondly, the difference between them is taken as the damage index. Finally, principal component analysis (PCA) is used to reduce the noise feature. And then, input to the online sequence limit learning neural network classification to identify damage and confirm the damage location. Taking the amplitude of the transmissibility function instead of the… More >

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