Rail Inspection Meets Big Data: Methods and Trends

@article{Li2015RailIM,
  title={Rail Inspection Meets Big Data: Methods and Trends},
  author={Qingyong Li and Zhangdui Zhong and Zhengping Liang and Yong Liang},
  journal={2015 18th International Conference on Network-Based Information Systems},
  year={2015},
  pages={302-308}
}
Rail inspection is one of the most important tasks for rail industry, in order to guarantee the safety of railway systems and control their cost. Rail are systematically inspected for defects using various non-destructive evaluation (NDE) techniques, which include ultrasonic inspection, visual detection, magnetic flux leakage method, acoustic emission inspection etc. The data obtained by these NDE devices are going to increase in both quality and quantity, therefore big data has emerged as a… CONTINUE READING

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