Smart Structures and Systems

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A review of health and operation monitoring technologies for trains

  • Chong, See Yenn (Department of Aerospace Engineering, Chonbuk National University) ;
  • Lee, Jung-Ryul (Department of Aerospace Engineering, Chonbuk National University) ;
  • Shin, Hye-Jin (Department of Aerospace Engineering, Chonbuk National University)
  • Received : 2009.09.09
  • Accepted : 2010.07.13
  • Published : 2010.12.25
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Abstract

Railway transport of goods and passengers is effective in terms of energy conservation and travel time savings. Safety and ride quality have become important issues as train speeds have increased. Due to increased speeds, minor damage to railway structures and abnormal interactions between trains and structures have given rise to increasingly serious accidents. Therefore, structural health and operational conditions must be monitored continuously in all service environments. Currently, various health and operation management systems are being developed and these are reducing both maintenance frequency and costs associated with disassembly. In this review, major damage and malfunctions and their locations are first analyzed based on numerous references. Then advanced train health and operation management technologies are classified into wayside detection methods and advanced integrated sensor methods and their operating principle and functions are reviewed and analyzed.

Keywords

Acknowledgement

Supported by : Korea Research Foundation

References

  1. Achenbach, J.D. (2009), "Structural health monitoring - What is the prescription", Mech. Res. Commun., 36(2), 137-142. https://doi.org/10.1016/j.mechrescom.2008.08.011
  2. Ahlström, J. and Karlsson, B. (1999), "Analytical 1D model for analysis of the thermally affected zone formed during railway wheel skid", Wear, 232(1), 15-24. https://doi.org/10.1016/S0043-1648(99)00167-2
  3. Andersson, E. and Stow, J. (2006), Field testing and instrumentation of railway vehicles, Handbook of Railway Vehicle Dynamics, (Ed. Iwnicki, S.), CRC Press, Boca Raton, FL, USA.
  4. Ares, E.G., Alonso, J.L.G., Plaza, J.A.F., Carrillo, A.B., Giménez, N.C., Aznar, F.S. and Cervigón, M.A.R. (2006), "Automatic in-service train axle inspection systems", Proceedings of the ECNDT 2006, Berlin, Germany, September.
  5. Ayasse, J.B. and Chollet, H. (2006), Wheel-rail contact, Handbook of Railway Vehicle Dynamics, (Ed. Iwnicki, S.), CRC Press, Boca Raton, FL, USA.
  6. Balageas, D.L. (2008), Introduction to structural health monitoring, Structural health monitoring, (Eds. Balageas, D.L., Fritzen, C.P. and Güemes, A.), ISTE Ltd., UK, http://www.iste.co.uk/data/doc_xqjujdlhnfls.pdf.
  7. Barden Precision Bearings (2008), Bearing failure: Causes and cures, http://www.bardenbearings.com/scan%20pdf/Bearing%20Failure%20Brochure.pdf.
  8. Barke, D. and Chiu, W.K. (2005), "Structural health monitoring in the railway industry: a review", Struct. Health Monit., 4(1), 81-93. https://doi.org/10.1177/1475921705049764
  9. Bladon, K., Rennison, D., Izbinsky, G., Tracy, R. and Bladon, T. (2004), "Predictive condition monitoring of railway rolling stock", Proceedings of the Conference On Railway Engineering, Darwin, June.
  10. Bosselmann, T. (2005), "Innovative applications of fiber-optic sensors in energy and transportation", Proceedings of the 17th International Conference on Optical Fibre Sensors, (Eds. Voet, M., Willsch, R., Ecke, W., Jones, J. and Culshaw, B.), Proc. SPIE, 5855, 188-193.
  11. Camerlingo, F.P., Cavaccini, G., Ciliberto, A., Voto, C., Iodice, M. and Pezzuti, F. (2006), "Alenia SHM fiber optic Bragg grating (FOBG) strain sensors technology: applications and requirements", Proceedings of the RTO-MP-AVT-141, Vilnius, Lithuania, October.
  12. Chia, C.C., Jang, S.G., Lee, J.R. and Yoon, D.J. (2009), "Structural damage identification based on laser ultrasonic propagation imaging technology", Proc. SPIE, 7389, 73891S-1-73891S -9.
  13. Ciang, C.C., Lee, J.R. and Bang, H.J. (2008), "Structural health monitoring for wind turbine system: a review of damage detection methods", Meas. Sci. Technol., 19(12), 122001. https://doi.org/10.1088/0957-0233/19/12/122001
  14. Choe, H.C., Wan, Y. and Chan, A.K. (2008), "Neural pattern identification of railroad wheel-bearing faults from audible acoustic signals: comparison of FFT, CWT, and DWT features", Proc. SPIE, 3078, 480-496, http://www.ece.tamu.edu/-akchan/Demo/paper97.pdf.
  15. Donelson III, J., Edwards, M.C., Filkins, M.H., Punwani, S.K., Stewart, M.F., Toth, D.G. and Zavis, W.M. (2005), "Performance of an on-board monitoring system in a revenue service demonstration", Proceedings of the 2005 ASME/IEEE Joint Rail Conference, San Diego, CA, USA, March.
  16. Ekberg, A. and Kabo, E. (2005), "Fatigue of railway wheels and rails under rolling contact and thermal loading - an overview", Wear, 258(7-8), 1288-1300. https://doi.org/10.1016/j.wear.2004.03.039
  17. Ekberg, A. and Sotkovszki, P. (2001), "Anisotropy and rolling contact fatigue of railway wheels", Int. J. Fatigue, 23(1), 29-43. https://doi.org/10.1016/S0142-1123(00)00070-0
  18. Farrar, C.R. and Lieven, N.A.J. (2007), "Damage prognosis: the future of structural health monitoring", Philos. T. R. Soc. A, 365(1851), 623-632. https://doi.org/10.1098/rsta.2006.1927
  19. Farrar, C.R. and Sohn, H. (2000), "Pattern recognition for structural health monitoring", Proceedings of the Second MCEER Workshop on Mitigation of Earthquake Disaster by Advanced Technologies, Las Vegas, NV, USA, November.
  20. Federal Railroad Administration Office of Safety Analysis (2008), Accident causes, http://safetydata.fra.dot.gov/officeofsafety/publicsite/Query/inccaus.aspx.
  21. Feng, Q., Cui, J., Zhao, Y., Pi, Y. and Teng, Y. (2000), "A dynamic and quantitative method for measuring wheel flats and abrasion of trains", Proceedings of the 15th World Conference on Nondestructive Testing, Roma, Italy, October.
  22. Fitch, J. (2008), How water causes bearing failure, Machinery Lubrication Magazine, Noria Corporation.
  23. Galganski, R.A. (1993), Collision avoidance and accident survivability - Volume 3: accident survivability, Federal Railroad Adminstration (FRA), Report No. DOT/FRA/ORD-93/02.III.
  24. Gallon, P. and Wilson, A. (2008), Vision system keeps trains on track, Vision System Design, http://www.optoiq.com/index/machine-vision-imaging-processing/display/vsd-article-display/102363/articles/vision-systems-design/ volume-6/issue-5/features/industrial-inspection/vision-system-keeps-trains-on-track.html.
  25. General Training Pty Ltd. (2008), Roller bearings and their lubrication - Training for plant and equipment operators, maintainers and, technicians, http://www.lifetime-reliability.com/Training/EGT001%20Roller%20bearings%20lubrication.pdf.
  26. Gerdun, V., Sedmak, T., Sinkovec, V., Kovse, I. and Cene, B. (2007), "Failures of bearings and axles in railway freight wagons", Eng. Fail. Anal., 14(5), 884-894. https://doi.org/10.1016/j.engfailanal.2006.11.044
  27. Guan, B.O., Tam, H.Y. and Liu, S.Y. (2004), "Temperature-independent fiber Bragg grating tilt sensor", IEEE Photonic. Tech. L., 16(1), 224-226. https://doi.org/10.1109/LPT.2003.820101
  28. Hanni, R., Stutz, A. and Destefani, G. (1994), Coach body construction for rail vehicles having extruded aluminum profiles with undercut nut-receiving grooves for ease of assembly, United States Patent 5287813.
  29. Harbin VEIC Technology Co. Ltd. (2008), HTK-499 Infrared Hot Box Detecting System (HBDS), Major Operating Products, http://www.veic.com.cn/cpzs-e.html.
  30. Ho, S.L., Lee, K.K., Lee, K.Y., Tam, H.Y., Chung, W.H., Liu, S.Y., Yip, C.M. and Ho, T.K. (2006), "A comprehensive condition monitoring of modern railway", Proceedings of the Institution of Engineering and Technology International Conference on Railway Condition Monitoring, Birmingham, UK, November.
  31. Holm-Hansen, B.T. and Gao, R.X. (2000), "Structural design and analysis for a sensor-integrated ball bearing", Finite Elem. Anal. Des., 34(3-4), 257-270. https://doi.org/10.1016/S0168-874X(99)00042-6
  32. Howard, I. (1994), A review of rolling element bearing vibration "Detection, Diagnosis and Prognosis", DSTO Aeronautical and Maritime Research Laboratory, Austrailia.
  33. Jergeus, J. (1998), "Martensite formation and residual stresses around railway wheel flats", Proc. IME C. J. Mech. Eng. Sci., 212(1), 69-79. https://doi.org/10.1243/0954406981521051
  34. Kawasaki, T., Yamaguchi, T. and Mochida, T. (2008), "Railway-vehicle technologies for European railways", Hitachi Rev., 57(1), 61-65.
  35. Kilian, K.P. (2002), Automated wheel slide detector, World Intellectual Property Organization, International Bureau.
  36. Kim, C.H. (2005), Transportation revolution: the Korean high-speed railway, Japan Railway & Transport Review 40, East Japan Railway Culture Foundation (EJRCF), 8-13.
  37. Krylov, V.V. (Ed.) (2001), Generation of ground vibration boom by high-speed trains, Noise and vibration from high-speed trains, Thomas Telford Publishing, London, UK.
  38. Lagnebäck, R. (2007), Evaluation of wayside condition monitoring technologies for condition-based maintenance of railway vehicles, Licentiate Thesis, Department of Civil, Mining and Environmental Engineering, Lulea University of Technology.
  39. Lall, P., Bhat, C., Hande, M., More, V., Vaidya, R., Pandher, R., Suhling, J. and Goebel, K. (2008), "Interrogation of system state for damage assessment in lead-free electronics subjected to thermo-mechanical loads", Proceedings of the 58th Electronic Components and Technology Conference (ECTC), Lake Buena Vista, FL, USA, May.
  40. Landrot, A. (2002), Bogie with composite side members, United States Patent 6338300.
  41. Lee, J.R., Lee, S.S. and Yoon, D.J. (2008), "Simultaneous multipoint acoustic emission sensing using fibre acoustic wave grating sensors with identical spectrum", J. Opt. A-Pure Appl. Op., 10(8), 085307. https://doi.org/10.1088/1464-4258/10/8/085307
  42. Lewis, R., Dwyer-Joyce, R.S., Bruni, S., Ekberg, A., Cavalletti, M. and Knani, K.B. (2004), "A new CAE procedure for railway wheel tribological design", Proceedings of the 14th International Wheelset Congress, Orlando, USA, October.
  43. Lonsdale, C. (2008), An analysis of wheel repair data for a coal car fleet, Standard Steel, LLC, http://www.standardsteel.com/tech.html.
  44. Matsumoto, M., Masai, K. and Wajima, T. (1999), "New technologies for railway trains", Hitachi Rev., 48(3), 134-138.
  45. Maurin, L., Boussoir, J., Rougeault, S., Bugaud, M., Ferdinand, P., Landrot, A.G., Grunevald, Y.H. and Chauvin, T. (2002), "FBG-based smart composite bogies for railway applications", Proceedings of the 15th Optical Fiber Sensors Conference Technical Digest (OFS), Portland, OR, USA, May.
  46. Mita, A. and Yokoi, I. (2000), "Fiber Bragg grating accelerometer for structural health monitoring", Proceedings of the 5th International Conference on Motion and Vibration Control (MOVIC), Sydney, Australia, December.
  47. Morgan, R., Gonzales, K., Smith, E. and Smith, B. (2006), Remotely detecting cracks in moving freight railcar axles, Final Report, Safety IDEA Project 08.
  48. Mutton, P.J. (2001), Rolling contact fatigue in railway wheels under high axle loads, BHP Institute of Railway Technology, Department of Mechanical Engineering, Monash University.
  49. Nagatomo, T. and Toth, D.G. (2006), Investigation of the bearing damage progression starting from cone creep of a railroad axle journal bearing, Quarterly Report, Railway Technical Research Institute (Japan), 47(3), 119-124.
  50. Nielsen, J.C.O. and Johansson, A. (2000), "Out-of-round railway wheels - a literature survey", Proc. Inst. Mech. Eng., Part F: J. Rail Rapid Transit, 214(2), 79-91. https://doi.org/10.1243/0954409001531351
  51. NTN Bearing Corporation of America (2008), Care and maintenance of bearings, http://www.ntnamerica.com/pdf/Other/3017cat.pdf.
  52. Okamoto, I. (1998), Railway technology today 5 - How bogies work, (Ed. Wako, K.), Japan Railway & Transport Review 18, East Japan Railway Culture Foundation (EJRCF), 52-61.
  53. Olofsson, U. and Lewis, R. (2006), Tribology of the wheel-rail contact, Handbook of Railway Vehicle Dynamics, (Ed. Iwnicki, S.), CRC Press, Boca Raton, FL, USA.
  54. Orlova, A. and Boronenko, Y. (2006), The anatomy of railway vehicle running gear, Handbook of Railway Vehicle Dyanmics, (Ed. Iwnicki, S.), CRC Press, Boca Raton, FL, USA.
  55. Rafiquzzaman, A.K.M. and Yokoyama, K. (2006), "Application of operating vehicle load to structural health monitoring of bridges", Smart Struct. Syst., 2(3), 275-293. https://doi.org/10.12989/sss.2006.2.3.275
  56. Rudlin, J., Muhammed, A. and Schneider, C. (2006a), "Inspection reliability and periodicity for rail axle inspection", Insight, 48(6), 348-351. https://doi.org/10.1784/insi.2006.48.6.348
  57. Rudlin, J., Muhammed, A. and Schneider, C. (2006b), "Investigation of inspection performance on cracked railway axles", Proceedings of the ECNDT 2006, Berlin, Germany, September.
  58. Sneed, W.H. and Smith, R.L. (1998), "On-board real-time railroad bearing defect detection and monitoring", Proceedings of the 1998 ASME/IEEE Joint Railroad Conference, Philadelphia, PA , USA, April.
  59. Shin, K.B. and Hahn, S.H. (2005), "Evaluation of the structural integrity of hybrid railway carriage structures including the ageing effects of composite materials", Compos. Struct., 68(2), 129-137. https://doi.org/10.1016/j.compstruct.2004.03.007
  60. Snyder, T., Stone, D.H. and Kristan, J. (2003), "Wheel flat and out-of round formation and growth", Proceedings of the 2003 IEEE/ASME Joint Rail Conference, Chicago, IL, USA, April.
  61. Soejima, H. (2003), Railway technology in Japan - challenges and strategies, Japan Railway & Transport Review 36, East Japan Railway Culture Foundation (EJRCF), 4-13.
  62. Southern, C. (2007), "The successful use of non contact acoustic bearing condition monitoring", Proceedings of the Condition Monitoring National Forum, Sydney.
  63. Standard Car Truck Company (2008), Stabilized components parts diagram, http://www.sctco.com/products.html.
  64. Steets, P.G. and Tse, Y.H. (1998), "Conrail's integrated automated wayside inspection", Proceedings of the 1998 ASME/IEEE Joint Railroad Conference, Philadelphia, PA, USA, April.
  65. Stratman, B., Liu, Y. and Mahadevan, S. (2007), "Structural health monitoring of railroad wheels using wheel impact load detectors", J. Fail. Anal. Prev., 7(3), 218-225. https://doi.org/10.1007/s11668-007-9043-3
  66. Stubbe, J. (2008), A LabVIEW mini-expert to identify bearing defects automatically, Department of Applied Mechanics, Universite Libre De Bruxelles, Belgium, http://www.ulb.ac.be/polytech/laborulb/bearing/bearing_miniexpert.pdf.
  67. Suzuki, H., Shiroto, H. and Tezuka, K. (2005), Effects of low frequency vibration on train motion sickness, Quarterly Report, Railway Technical Research Institute (Japan), 46(1), 35-39.
  68. Takeichi, M., Okuno, S., Okazaki, M. and Hattori, M. (1997), Railway car body structures and methods of making them, European Patent Office.
  69. Tam, H.Y. (2008), "Applications of fibre Bragg grating sensors in railways", Proceedings of the Joint conference: Opto-Electronics and Communications Conference/Australian Conference on Optical Fibre Technology (OECC/ACOFT), Sydney, Australia, July.
  70. Tam, H.Y., Lee, T., Ho, S.L., Haber, T., Graver, T. and Méndez, A. (2009), Utilization of fiber optic Bragg grating sensing systems for health monitoring in railway applications, http://www.micronoptics.com/uploads/library/documents/FBGs_Rail_Monitoring.pdf.
  71. Tam, H.Y., Liu, S.Y., Chung, W.H., Ho, T.K., Ho, S.L. and Lee, K.K. (2005), "Smart Railway Sensor Network using fiber Bragg grating sensors as sensing elements", Proceedings of the 2nd International Workshop on Advanced Smart Materials and Smart Structures Technology, (Eds. Yun, C.B. and Spencer, Jr., B.F.), Gyeongju, Korea, July.
  72. Tessler, A. (2007), Structural analysis methods for structural health management of future aerospace vehicles, NASA/TM-2007-214871.
  73. Thanh, V. (2003), Wheel deterioration, The University of Birmingham and Machester Metropolitan University.
  74. The Timken Company (2008), Tapered roller bearing damage analysis, http://www.timken.com/en-us/products/maintdiag/Documents/6347.pdf.
  75. Tomii, N. (1999), Urban transportation technology project, Quarterly Report, Railway Technical Research Institute (Japan), 40(4), 196-198.
  76. Trackside Intelligence Pty. Ltd. (2008), Trackside intelligence - wheel condition monitors and wayside monitoring systems, http://www.railway-technology.com/contractors/track/teknis/.
  77. Tyrell, D., Severson, K., Perlman, A.B., Brickle, B. and Vanlngen-Dunn, C. (2000), "Rail passenger equipment crashworthiness testing requirements and implementation", Proceedings of the International Mechanical Engineering Congress and Exposition, Orlando, FL, USA, November.
  78. Wickens, A.H. (2006), A history of railway vehicle dynamics, Handbook of Railway Vehicle Dynamics, (Ed. Iwnicki, S.), CRC Press, Boca Raton, FL, USA.
  79. Worden, K. and Dulieu-Barton, J.M. (2004), "An overview of intelligent fault detection in systems and structures", Struct. Health Monit., 3(1), 85-98. https://doi.org/10.1177/1475921704041866
  80. Yagi, T., Oda, Y., Ishiduka, H. and Tahara, M. (2007), Fatigue design diagram for weld joints on aluminum alloy carbody shells, Quarterly Report, Railway Technical Research Institute (Japan), 48(1), 15-21.
  81. Zakharov, S.M. and Goryacheva, I.G. (2005), "Rolling contact fatigue defects in freight car wheels", Wear, 258(7-8), 1142-1147. https://doi.org/10.1016/j.wear.2004.03.062
  82. Zerbst, U., Mädler, K. and Hintze, H. (2005), "Fracture mechanics in railway applications - an overview", Eng. Fract. Mech., 72(2), 163-194. https://doi.org/10.1016/j.engfracmech.2003.11.010

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