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Turnout Degradation Modelling Using New Inspection Technologies: A Literature Review

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Current Trends in Reliability, Availability, Maintainability and Safety

Abstract

Turnouts are of the most critical components of railway track which are prone to high static and dynamic forces leading to more intense degradation. They require more inspection than other parts of a railway track as they are potential safety hazards. As a result, turnout degradation processes are crucial to be understood by infrastructure manager to plan for their maintenance and renewal in advance. Two approaches have been introduced in the literature to achieve a thorough understanding of degradation processes in turnouts. The first one acts to develop degradation models based on influential parameters and historical data and then to predict degradation processes in the future; while the second one tries to improve inspection through using new concepts and technologies leading turnout condition data to be better captured over time. The purpose of this paper is to review all available resources regarding these two approaches and provide a guide for further research into turnout studies.

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References

  1. Nissen A (2005) Analys av statistik om spårväxlars underhållsbehov. Doctoral dissertation, Samhällsbyggnad, Avdelningen för drift och underhåll, Lulea tekniska universitet

    Google Scholar 

  2. Zwanenburg WJ (2009) Modelling degradation processes of switches & crossings for maintenance & renewal planning on the Swiss railway network. Doctoral dissertation, École polytechnique fédérale de Lausanne

    Google Scholar 

  3. U.S. Department of Transportation, Federal Railroad Administration (2009) Track Safety Standards Part 213, CFR Title 49

    Google Scholar 

  4. Zwanenburg WJ (2007) Degradation processes and wear of railway switches and crossings: the Swiss experience. In: Rail Tech Europe, Seminar 6 (No. LITEP-PRESENTATION-2008-001)

    Google Scholar 

  5. Liu X, Saat MR, Barkan CP (2012) Analysis of causes of major train derailment and their effect on accident rates. Transp Res Rec: J Transp Res Board 2289(1):154–163

    Article  Google Scholar 

  6. Arasteh khouy I (2013) Cost-effective maintenance of railway track geometry: a shift from safety limits to maintenance limits. Doctoral thesis/Luleå University of Technology

    Google Scholar 

  7. Camargo LFM, Edwards JR, Barkan CP (2011, January) Emerging condition monitoring technologies for railway track components and special trackwork. In: 2011 Joint rail conference. American Society of Mechanical Engineers, , pp 151–158

    Google Scholar 

  8. Arasteh khouy I, Larsson-Kråik P-O, Nissen A, Lundberg J, Kumar U (2013) Geometrical degradation of railway turnouts—A case study from a Swedish heavy haul railroad. Proc Inst Mech Eng Part F: J Rail Rapid Transit 228(6):611–619. doi:10.1177/0954409713503320

    Google Scholar 

  9. Jovanovic S (2004, October). “Railway track quality assessment and related decision making”. In: 2004 IEEE international conference on systems, man and cybernetics, vol 6, pp 5038−5043. IEEE

    Google Scholar 

  10. Zarembski AM, Bonaventura CS, Holfeld D (2006, September) Development of maintenance indices for turnouts. In: Proceedings of AREMA conference on railway track and structures

    Google Scholar 

  11. MiniProf Switch. https://www.greenwood.dk/miniprofswitch.php. Accessed 15 April 2015

  12. Rusu M, Roberts C, Kent S (2012) The use of laser based trolley for railway switch and crossing inspection”. In: eMaintenance 2012: the Second international workshop and congress on eMaintenance. Kulturens Hus, Luleå, Sweden, 12th–14th Dec 2012. Luleå University of Technology, Luleå

    Google Scholar 

  13. Micro-Epsilon. Laser profile scanner. http://www.micro-epsilon.co.uk/laser-scanner-profilesensor/Laser-scanner-selection/index.html. Accessed 15 April 2015

  14. Jönsson J, Khouy IA, Lundberg J, Rantatalo M, Nissen A (2014) Measurement of vertical geometry variations in railway turnouts exposed to different operating conditions. Proc Inst Mech Eng Part F: J Rail Rapid Transit 0954409714546205

    Google Scholar 

  15. Eurailscout (2015) Switch inspection & measurement (SIM)—Features and arguments. http://www.eurailscout.com/1-switch-inspection-measurement-sim-features-and-arguments_en.html. Accessed 15 April 2015

  16. Molina LF, Resendiz E, Edwards JR, Hart JM, Barkan CP, Ahuja N (2011) Condition monitoring of railway turnouts and other track components using machine vision. In: Transportation Research Board 90th annual meeting (No. 11-1442)

    Google Scholar 

  17. Deutschl E, Gasser C, Niel A, Werschonig J (2004, June) Defect detection on rail surfaces by a vision based system. In: 2004 IEEE Intelligent vehicles symposium. IEEE, pp 507–511

    Google Scholar 

  18. Mandriota C, Nitti M, Ancona N, Stella E, Distante A (2004) Filter-based feature selection for rail defect detection. Mach Vis Appl 15(4):179–185

    Article  Google Scholar 

  19. Popov DV, Titov EV, Mikhailov SS (1999, October) Rail head wear measurements using the CCD photonic system. In: Photonics for transportation. International Society for Optics and Photonics, pp 32–36

    Google Scholar 

  20. Aguilar JJ, Lope M, Torres F, Blesa A (2005) Development of a stereo vision system for non-contact railway concrete sleepers measurement based in holographic optical elements. Measurement 38(2):154–165

    Article  Google Scholar 

  21. Wamani WT, Villar C (2009) AURORA automated railroad tie condition assessment system: the quest for accuracy. In: 2009 AREMA conference proceedings, American Railway and Maintenance of Way Association (AREMA), Chicago, Illinois

    Google Scholar 

  22. Yella S, Dougherty M, Gupta NK (2009) Condition monitoring of wooden railway sleepers. Transp Res Part C: Emerg Technol 17(1):38–55

    Article  Google Scholar 

  23. Labarile A, Stella E, Ancona N, Distante A (2004, June) Ballast 3D reconstruction by a matching pursuit based stereo matcher. In: 2004 IEEE Intelligent vehicles symposium. IEEE, pp 653–657

    Google Scholar 

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

    Google Scholar 

  25. Marino F, Distante A, Mazzeo PL, Stella E (2007) A real-time visual inspection system for railway maintenance: automatic hexagonal-headed bolts detection. IEEE Trans Syst Man Cybern Part C: Appl Rev 37(3):418–428

    Article  Google Scholar 

  26. Berry A, Nejikovsky B, Gilbert X, Tajaddini A (2008) High speed video inspection of joint bars using advanced image collection and processing techniques. In: Proceedings of the 2008 World congress on railway research, Seoul, Korea

    Google Scholar 

  27. Babenko P (2009) Visual inspection of railroad tracks. PhD dissertation. University of Central Florida Orlando, Florida

    Google Scholar 

  28. Afshari M, Marquié T, Inman DJ (2009, January) Automated structural health monitoring of bolted joints in railroad switches. In: ASME 2009 rail transportation division fall technical conference. American Society of Mechanical Engineers, pp 1–7

    Google Scholar 

  29. Schoone C (2010) Monitoring a turnout of a railway or tramway line. EP 2165915 A2, 23 Sept 2009, 24 Mar 2010

    Google Scholar 

  30. Zarembski AM, Palese JW, Euston TL, Scheiring WR (2011) Development and implementation of automated switch inspection vehicle. In: Proceedings of the 2011 Annual conference (AREMA). Minneapolis, MN, 18–21 Sept 2011

    Google Scholar 

  31. Zarembski AM (2012) Automated turnout inspection. In: Transportation Research Board 91th Annual meeting, presentation no. p12-6862-1

    Google Scholar 

  32. Asplund M, Dan L, Matti R, Arne N, Uday Kumar. (2013) Inspection of railway turnouts using camera. In: World congress on railway research

    Google Scholar 

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Correspondence to Morteza Bagheri .

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Minbashi, N., Bagheri, M., Golroo, A., Arasteh Khouy, I., Ahmadi, A. (2016). Turnout Degradation Modelling Using New Inspection Technologies: A Literature Review. In: Kumar, U., Ahmadi, A., Verma, A., Varde, P. (eds) Current Trends in Reliability, Availability, Maintainability and Safety. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-23597-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-23597-4_5

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-23597-4

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