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Proceedings Paper

Research on automatic defect localization for ultrasonic normal probe detection on railway wheel
Author(s): Xiao-rong Gao; Zhen Wang; Chao-yong Peng; Yu Zhang
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Paper Abstract

Wheel detection is a significant guarantee for ensuring train-running safety. Ultrasonic phased array inspection technology is popularly applied in railway wheel and axle inspection at present. The objective of our study is to develop a data processing algorithm which makes use of image processing techniques in order to assist ultrasonic inspection operators in their difficult task. The research work described in this paper has thus been done with this objective in mind and it concerns a method that we have developed for automatic detection of defects. This method is based on region connection and region growing and it allows to position defects in the wheel under inspection by automatic analysis of the ultrasonic data.

Paper Details

Date Published: 15 November 2011
PDF: 9 pages
Proc. SPIE 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 83212X (15 November 2011); doi: 10.1117/12.905202
Show Author Affiliations
Xiao-rong Gao, Southwest Jiaotong Univ. (China)
Zhen Wang, Southwest Jiaotong Univ. (China)
Chao-yong Peng, Southwest Jiaotong Univ. (China)
Yu Zhang, Southwest Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 8321:
Seventh International Symposium on Precision Engineering Measurements and Instrumentation
Kuang-Chao Fan; Man Song; Rong-Sheng Lu, Editor(s)

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