Crack classification and quantitative evaluation based on dimensionality reduction optimization model of multifeature weak magnetic signal-Reference-Cited by-同舟云学术

Crack classification and quantitative evaluation based on dimensionality reduction optimization model of multifeature weak magnetic signal

Published:2023-12 Issue: Volume:20 Page:101657
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Hu Bo^ORCID,Luo Weitao,Shi Wenze,Xia Guisuo,Cheng Hongzhi

Funder

National Natural Science Foundation of China

Major Discipline Academic and Technical Leaders Training Program of Jiangxi Province

Publisher

Elsevier BV

Subject

General Engineering

Reference19 articles.

1. Magnetic non-destructive testing method for thin-plate aluminum alloys;Hu;NDT E Int.,2012

2. Micro magnetic detection of surface crack defects of GH4169 turbine disk simulated by artificial groove;Hu;Acta Aeronautica etAstronautica Sinica,2015

3. Feature extraction and selection for defect classification of pulsed eddy current NDT;Chen;NDT E Int.,2008

4. Depth classification of defects in composite materials by long-pulsed thermography and blind linear unmixing;Marani;Compos. B Eng.,2023

5. A study on depth classification of defects by machine learning based on hyper-parameter search;Chen;Measurement,2022

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