Structural health monitoring of railway tracks using IoT-based multi-robot system

Author:

Iyer Srikrishna,Velmurugan T.,Gandomi A. H.,Noor Mohammed V.,Saravanan K.,Nandakumar S.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference30 articles.

1. ARTC (Australian Rail Track Corporation) (2006) Rail defects handbook some rail defects, their characteristics, causes and control. Eng Pract Manual, (A):1–68

2. Singh M, Singh S, Jaiswal J, Hempshall J (2006) Autonomous rail track inspection using vision based system. In: 2006 IEEE International conference on computational intelligence for homeland security and personal safety, Alexandria, VA, pp 56–59

3. Zhan Dong, Yu L, Xiao Jian, Chen T-L (2014) Study on track wear cross-section measurement utilizing laser-photogrammetric technique. J China Railw Soc 36:32–37

4. Gao Y, Wang P, Wang H, Shi Y (2016) Review of railway rail defect non-destructive testing and monitoring. Yi Qi Yi Biao Xue Bao/Chin J Sci Instrument 37:1763–1780

5. Xing L (2008) Research on defect characteristics and classification of higher speed rails. China Academy of Railway Sciences, Beijing

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