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• W4308598755 abstract "Structural health monitoring (SHM) systems have shown the potential to detect damage in various types of structures, thus increasing safety and reducing maintenance costs. Among the damage detection methods are those that use small piezoelectric transducers attached to the monitored structure, such as the electromechanical impedance (EMI) and Lamb waves methods. Although both methods have shown to be effective in detecting structural damage, external disturbances such as noise can alter the signals from piezoelectric sensors in real applications and prejudice the correct diagnosis of the monitored structure. Therefore, this paper presents a comparative analysis of the performance of EMI and Lamb waves methods in noisy environments, which is a condition commonly found in real structures. The obtained results add value to the SHM field by allowing to know the tradeoff in choosing the appropriate method regarding the detection, quantification, and location of structural damage under noise conditions. Experimental tests were performed on aluminum structures to assess the effectiveness of both techniques to detect, quantify, and locate structural damage under noise of different intensities. The experimental results show that each technique has different characteristics in terms of effectiveness in detecting, quantifying, and locating damage under noise effects." @default.
• W4308598755 created "2022-11-12" @default.
• W4308598755 creator A5063035949 @default.
• W4308598755 creator A5068097428 @default.
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• W4308598755 date "2022-11-08" @default.
• W4308598755 modified "2023-10-16" @default.
• W4308598755 title "Damage detection in noisy environments based on EMI and Lamb waves: A comparative study" @default.
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• W4308598755 doi "https://doi.org/10.1177/1045389x221128583" @default.
• W4308598755 hasPublicationYear "2022" @default.
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