Magnetic Flux Leakage Nondestructive Testing Technology of High-Speed Rail Defects
Haixia Zhu, Wenbo Liu
Available Online December 2016.
- https://doi.org/10.2991/icsma-16.2016.78How to use a DOI?
- Defects of rail. MFL detection. Signal features. RBF
- 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.
- 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 -