Research on Ultrasonic Guided Wave Technology for the Rail Fatigue Cracks Based on PCA-adaboost.M2 Algorithm-Reference-Cited by-同舟云学术

Research on Ultrasonic Guided Wave Technology for the Rail Fatigue Cracks Based on PCA-adaboost.M2 Algorithm

Published:2023-11-17 Issue:1 Volume:52 Page:20230453
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Zeng Wei¹²,Liu Yuzhu¹,Yu Shangzhi¹,Qi Shikai¹,Wu He¹,Liu Li¹

Affiliation:

1. School of Electronic and Information Engineering, Jiujang University, No. 551 Qianjin Rd., Lianxi District, Jiujiang City, Jiangxi Province 332005, China

2. Jiujiang Key Laboratory of Artificial Intelligence Technology and Application, Jiujiang University, No. 551 Qianjin Rd., Lianxi District, Jiujiang City, 332005, China (Corresponding author), e-mail: 270401671@qq.com, https://orcid.org/0000-0002-2821-7792

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference19 articles.

1. Lateral Heat Conduction Based Eddy Current Thermography for Detection of Parallel Cracks and Rail Tread Oblique Cracks;Yang;Measurement,2015

2. Machine Vision Based Condition Monitoring and Fault Diagnosis of Machine Tools Using Information from Machined Surface Texture: A Review;Liu;Mechanical Systems and Signal Processing,2022

3. Bearing Defect Inspection Based on Machine Vision;Shen;Measurement,2012

4. Application of Laser Ultrasound Imaging Technology in the Frequency Domain Based on Wigner–Ville Algorithm for Detecting Defect;Zeng;Optics & Laser Technology,2015

5. Detection of Surface Defects for Longitudinal Acoustic Waves by a Laser Ultrasonic Imaging Technique;Zeng;Optik,2016

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