A study on depth classification of defects by machine learning based on hyper-parameter search

Haoze Chen,Zhijie Zhang,Wuliang Yin,Chenyang Zhao,Fengxiang Wang,Yanfeng Li

Measurement（2022）

Cited 13|Views11

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Abstract

•This paper explores the effect of different defect depths on heat transfer.•Hyper-parameter search is used for defect depth classification.•Three different machine learning algorithms are applied to defect identification.•It can achieve 100% accuracy of defect depth classification within 0.63 s.

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Key words

Hyper-parameters search,Defect depth classification,K-nearest neighbor,Support vector machine,Random forest

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