Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)

Magnetic Flux Leakage Nondestructive Testing Technology of High-Speed Rail Defects

Authors
Haixia Zhu, Wenbo Liu
Corresponding Author
Haixia Zhu
Available Online December 2016.
DOI
https://doi.org/10.2991/icsma-16.2016.78How to use a DOI?
Keywords
Defects of rail. MFL detection. Signal features. RBF
Abstract
To ensure the security of high speed railway, the basic principle of MFL detection was analyzed. The absolute peak value, the peak-peak value and the peak spacing are selected as the MFL signal features. The relationships between the defect geometry parameters and the MFL signal features are researched by simulation. The method of quantitative recognition defect based on RBF neural network was studied in this paper, and the experimental result shows that the method is feasible.
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Volume Title
Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-274-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsma-16.2016.78How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Haixia Zhu
AU  - Wenbo Liu
PY  - 2016/12
DA  - 2016/12
TI  - Magnetic Flux Leakage Nondestructive Testing Technology of High-Speed Rail Defects
BT  - Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
PB  - Atlantis Press
SP  - 438
EP  - 441
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsma-16.2016.78
DO  - https://doi.org/10.2991/icsma-16.2016.78
ID  - Zhu2016/12
ER  -