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Study on Algorithm of High-Speed Scanning System for Railway Vehicle Running Units Using High Performance Camera

고성능 카메라를 이용한 철도차량 주행장치용 고속스케닝시스템 알고리즘에 관한 연구

  • Huh, Sung Bum (Department of Rolling Stock System, Seoul National University of Science & Technology) ;
  • Lee, Hi Sung (Department of Rolling Stock System, Seoul National University of Science & Technology)
  • 허성범 (서울과학기술대학교 철도차량시스템공학과) ;
  • 이희성 (서울과학기술대학교 철도차량시스템공학과)
  • Received : 2020.08.04
  • Accepted : 2020.08.20
  • Published : 2020.08.31

Abstract

It is necessary to apply a non-contact high-speed scanning system that can measure in real time in order to prevent the dropping and deformation of the main parts of railway vehicles during high-speed running. Recently, research on a scanning system that detects the deformation state of main parts from a video image taken using a high-performance camera has been actively pursued. In this study, we researched an analysis algorithm of a high-speed scanning system that uses a high-performance camera to monitor the deformation and drop-out state of the main components of the running units equipment in real time.

Keywords

References

  1. K. J. Kim and K. O. Lee, "A Study on the Improvement for EMU Maintenance System of Urban Transit", J. Korean Soc. Saf., Vol. 25, No. 1, pp. 87-92, 2010.
  2. 2020 Railway Vehicle Smart maintenance Technology Development Project (Development of Smart Maintenance Device for Automatic Detection of Railway Vehicle Abnormal Conditions, Korea Agency for Infrastructure Technology Advancement R&D Project), 2020.
  3. J. W. Seo, S. J. Kwon, H. J. Kim, C. W. Lee, M. S. Kim and Y. S. Ham, "Development of Thermal Monitoring System for Inspection of Railway Components", J. Korean Soc. Precis. Eng., Vol. 30, No. 7, pp. 687-693, 2013. https://doi.org/10.7736/KSPE.2013.30.7.687
  4. S. T. Won, S. J. Kwon and S. B. Huh, "A Study on Profile Measurement for Railway Wheel using High speed Camera and Vision Technology", J. Korean Soc. Railway, Vol. 18, No.1, pp. 1-7, 2015. https://doi.org/10.7782/JKSR.2015.18.1.1
  5. Y. K. Kim, S. B. Huh, S. J.Won and H. S. Lee, "A Study on the High Speed Response Infrared Detection Sensor Module and Measurement Test Equipment," J. Korean Soc. Urban Railway, Vol. 6, No. 4, pp. 243-248, 2018. https://doi.org/10.24284/JKOSUR.2018.12.6.4.243
  6. S. B. Huh and S. H. Lee, "Development of High-speed Scanning System for Railway Running Units using High-performance Camera," Journal of Korean Society for Urban Railway, Vol. 7, No. 3, pp. 391-396, 2019. https://doi.org/10.24284/JKOSUR.2019.9.7.3.391
  7. Y. H. Lee and Y. S.Kim, "Comparison of CNN and YOLO for Object Detection", Journal of the Semiconductor & Display Technology, Vol. 19, No. 1, pp. 85-92, 2020.
  8. M. G. Park, H. S. Kim, H. D. Choi and S. K. Park, "A Study on Vehicle Detection and Distance Classification Using Mono Camera Based on Deep Learning", Journal of Korean Institute of Intelligent Systems, Vol. 29, No. 2, pp. 90-96, 2019. https://doi.org/10.5391/JKIIS.2019.29.2.90
  9. M. K. Lee and K. S. Seo, "Using Deep Learning Based Machine Vision for Defects Detection", Information and Control Symposium, pp. 54-55, 2017.
  10. J. Redmon, S. Divvala, R. Girshick and A. Farhadi, "You Only Look Once : nified, Real-time Object Detection", IEEE Conference on Computer Vision and Pattern Recognition, pp. 779-788, 2015.
  11. M. H. Kim, S. W. Shin and Y. Y. Suh, "Application of Deep Learning Algorithm for Detecting Construction Workers Wearing Safety Helmet Using Computer Vision", J. Korean Soc. Saf., Vol. 34, No. 6, pp. 29-37, 2019. https://doi.org/10.14346/JKOSOS.2019.34.6.29
  12. D. H. Ryu, S. H. Nahm, Y. I. Kim and S. C. Kim, "Development of Measurement System for Crack Growth Using Image Processing Technology", J. Korean Soc. Saf., Vol. 17, No. 4, pp. 11-18, 2002.