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Application of machine learning to a novel analytical method of AE waveform signals

机译:Application of machine learning to a novel analytical method of AE waveform signals

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摘要

Damages such as delamination and transverse cracks inside the carbon fiber reinforced plastic (CFRP) laminates threaten the safety of CFRP structures. Hence, structural health monitoring (SHM) technologies for evaluating the microscopic damage in composite structures in real time has received considerable attention.

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