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Artificial intelligence-based machine learning considering flow and temperature of the pipeline for leak early detection using acoustic emission

Engineering fracture mechanics, v.210, 2019년, pp.381 - 392  

Ahn, Byunghyun (Corresponding author.) ,  Kim, Jeongmin ,  Choi, Byeongkeun

Abstract AI-Helper 아이콘AI-Helper

Abstract The application of the high-frequency Acoustic Emission (AE) system for condition monitoring of the pipeline has been increasing. But the noise of AE signal is essential to reduce the noise and redundant signal due to the high sensitivity transducer. Genetic Algorithm (GA) for feature sele...

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