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- W2893732292 abstract "This paper proposes singular spectrum analysis (SSA) based feature extraction method in Lamb wave based damage detection. SSA is used for the decomposition of the acquired Lamb wave signal into an additive set of principal components and a new universal approach for selection of the principal components is presented. The principal components which contain the least measurement noise and the most damage information are then used to detect local damage in an aluminum plate and a new approach based on the maximum likelihood analysis for damage signal decomposition is proposed. Genetic algorithm is adopted for the purpose of making the similarity between the synthetic signal and the target signal reach the maximum. The experimental result shows that the proposed method is capable of yielding accurate identified results with noisy measurement." @default.
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- W2893732292 date "2015-01-01" @default.
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- W2893732292 title "Singular spectrum analysis and its application in Lamb wave-based damage detection" @default.
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