Ultrasonic signal processing using wavelet transform for automatic rail defect detection
Authors
Gang Yu, Xiaoman Wang
Corresponding Author
Gang Yu
Available Online January 2016.
- DOI
- 10.2991/ifmeita-16.2016.124How to use a DOI?
- Keywords
- Ultrasonic, rail defect detection, wavelet transform, denoising.
- Abstract
Ultrasonic echo signal from running rail defect detection equipment generally contains noise, which makes it hard to identify the defects. In this paper, wavelet transform based approach is proposed to process the ultrasonic echo signal. Through the experimental verification, the proposed method is effective in detecting the defects of rail under running operation.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Gang Yu AU - Xiaoman Wang PY - 2016/01 DA - 2016/01 TI - Ultrasonic signal processing using wavelet transform for automatic rail defect detection BT - Proceedings of the 2016 International Forum on Management, Education and Information Technology Application PB - Atlantis Press SP - 678 EP - 681 SN - 2352-5398 UR - https://doi.org/10.2991/ifmeita-16.2016.124 DO - 10.2991/ifmeita-16.2016.124 ID - Yu2016/01 ER -