A rapid in-situ hardness detection method for steel rails based on LIBS and machine learning-Reference-Cited by-同舟云学术

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A rapid in-situ hardness detection method for steel rails based on LIBS and machine learning

Published:2024-05 Issue: Volume:215 Page:106908
ISSN:0584-8547
Container-title:Spectrochimica Acta Part B: Atomic Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part B: Atomic Spectroscopy

Author:

Xia Langyu,Yang Zefeng,Wei Wenfu,Wu Guangning

Publisher

Elsevier BV

Reference26 articles.

1. Rail foot flaw detection based on a laser induced ultrasonic guided wave method;Pathak;Measurement,2019

2. Development of phased array ultrasonic system for detecting rail cracks;Kim;Sensors Actuators A Phys.,2020

3. Rail magnetic flux leakage detection and data analysis based on double-track flaw detection vehicle;Wang;Processes,2023

4. Multiple cracks detection and visualization using magnetic flux leakage and eddy current pulsed thermography;Gao;Sensors Actuators A Phys.,2015

5. Automated vision inspection of rail surface cracks: a double-layer data-driven framework;Zhuang;Transp. Res. part C Emerg. Technol.,2018

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