Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on Determining the Optimal Replacement Interval of the Rolling Stock Signal System Component based on the Field Data

필드데이터에 의한 철도차량 신호장치 구성품의 최적 교체주기 결정에 관한 연구

  • Byoung Noh Park (Department of railroad Safety Engineering, Seoul National University of Science & Technology) ;
  • Kyeong Hwa Kim (Department of Electrical and Information Engineering, Seoul National University of Science and Technology) ;
  • Jaehoon Kim (Department of Railroad Vehicle Technology, Korea Railroad Research Institute)
  • 박병노 (서울과학기술대학교 철도안전공학과 ) ;
  • 김경화 (서울과학기술대학교 전기정보공학과) ;
  • 김재훈 (한국철도기술연구원)
  • Received : 2023.03.20
  • Accepted : 2023.04.14
  • Published : 2023.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

Rolling stock maintenance, which focuses on preventive maintenance, is typically implemented considering the potential harm that may be inflicted to passengers in the event of failure. The cost of preventive maintenance throughout the life cycle of a rolling stock is 60%-75% of the initial purchase cost. Therefore, ensuring stability and reducing maintenance costs are essential in terms of economy. In particular, private railroad operators must reduce government support budget by effectively utilizing railroad resources and reducing maintenance costs. Accordingly, this study analyzes the reliability characteristics of components using field data. Moreover, it resolves the problem of determining an economical replacement interval considering the timing of scrapping railroad vehicles. The procedure for determining the optimal replacement interval involves five steps. According to the decision model, the optimal replacement interval for the onboard signal device components of the "A" line train is calculated using field data, such as failure data, preventive maintenance cost, and failure maintenance cost. The field data analysis indicates that the mileage meter is 9 years, which is less than the designed durability of 15 years. Furthermore, a life cycle in which the phase signal has few failures is found to be the same as the actual durability of 15 years.

Keywords

Acknowledgement

This research was supported by the Ministry of Land, Infrastructure and Transport's national research and development project [NTIS 1615012817], 2022.

References

  1. Carbon Emissions Transportation Demand Management Policy, pp. 11-12, Seoul Institute, 2017.
  2. Railroad Safety Annual Report, Korea Transportation Safety Authority, pp. 49-50, 2021.
  3. Railroad Safety Monthly Report, Korea Transportation Safety Authority, pp. 19-20, 2022.
  4. Railroad Safety Annual Report, Korea Transportation Safety Authority, pp. 56-57, 2021.
  5. Louis-Marie "Reducing rolling stock maintenance cost", SNCF, pp. 1-2, 2012.
  6. D. K. Kim and B. N. Park, "A Study to Determine Optimal Inspection Intervals using a Multi-criteria Decision Mode", Journal of Applied Reliability, Vol. 21, No. 3, pp. 282-293, 2021. https://doi.org/10.33162/JAR.2021.9.21.3.282
  7. R. J. Ferreira and C. A. Cavalcante, "A Multi-criteria Decision Model to Determine Inspection Intervals of Condition Monitoring based on Delay Time Analysis", Reliability Engineering & System Safety, Vol. 94, No. 5, pp. 905-912, 2009. https://doi.org/10.1016/j.ress.2008.10.001
  8. F. Zhang and Y. Ma, "Optimal Maintenance Policy Considering Imperfect Repairs and Non-constant Probabilities of Inspection Errors," Reliability Engineering & System Safety, Vol. 193, pp. 106615, 2020.
  9. J. I. Lee, "A Study on Optimization of Preventive Maintenance for Urban Transit Vehicle using Genetic Algorithm", Dept. of Mechanical Engineering Graduate School Sungkyunkwan University, 2011
  10. K. M. Jung, "Optimal Replacement Policy after Extended Warranty for a System with Minimal Repair Warranty", Journal of Applied Reliability, Vol. 13, No. 2. pp. 77-86, 2013.
  11. K. J. Park and J. D. Chung, "A Study on the Maintenance Period Optimization for the Urban Tansit Vehicles" Journal of Korean Society for Railway, pp. 22-26, 2011.
  12. J. H. Park and B. N. Park, "A Study on Two-phase Condition-based Maintenance Scheduling for Rolling Stocks with Left-truncated and Right-censored Data", Journal of Applied Reliability, Vol. 22, No. 2, pp. 118-131, 2022. https://doi.org/10.33162/JAR.2022.6.22.2.118
  13. D. K. Lee and H. S. Lee, "A Study on the Life Cycle Establishment and Improvement of Main Parts for Electric Locomotive", J. Korean Soc. Saf., Vol. 36, No. 2, pp. 1-9, 2021
  14. B. M. Jang and J. W. Lee, "Study on the Replacement Period Decision for Clearance Detectors in Railway Turnouts Using Bathtub Curve", Journal of the Korean Society for Railway, Vol. 21, No. 11, pp. 1094-1103, 2018. https://doi.org/10.7782/JKSR.2018.21.11.1094
  15. Y. W. Seo and D. H. Choi, "Study on Usability Analysis using Field Data Analysis Result", Journal of Applied Reliability, Vol. 19, No. 1, pp. 55-67, 2019. https://doi.org/10.33162/JAR.2019.03.19.1.55
  16. M. S. Kim and G. T. Oh, "Field Data Analysis for an Industrial Compressor", Journal of the Korean Institute of Plant Engineering, Vol. 21, No. 3, pp. 71-79, 2016.
  17. H. J. Park, "Signal System theory and System", Airport Railroad Co, pp. 161-162, 2003.
  18. OECD, https://stats.oecd.org, Level of GDP per capita and productivity, 2021.