Identyfikatory
Warianty tytułu
Inteligentny system monitoringu torów i pojazdów kolejowych
Języki publikacji
Abstrakty
Structural Health Monitoring is becoming more and more important for today's railway. Higher requirements are set for safety and availability of both trains and tracks, that can be achieved using new type of SHM systems. Proposed SHM system is based on vibration measurements during the rail vehicle operation simultaneously with GPS position and velocity estimation. AIgorithm for rall track health assessment is formulated as inverse identification problem of dynamic parameters of rail - vehicle system. Track irregularities of tracks are identified using this procedure. The case study of the SHM system operates on rail vehicle is presented in the paper.
Monitorowanie stanu staje się coraz bardziej istotne dla dzisiejszej kolei. Wyższe wymagania są ustalane dla bezpieczeństwa i dostępności zarówno dla pociągów jak i torów, które można osiągnąć za pomocą nowego typu systemów SHM. Proponowany system SHM opiera się na pomiarach drgań w czasie eksploatacji pojazdów kolejowych jednocześnie z pozycji GPS i oszacowania prędkości. Algorytm oceny stanu toru kolejowego jest sformułowany jako inwersja problemu identyfikacji parametrów dynamicznych system tor - pojazd. Nieprawidłowości toru są identyfikowane za pomocą tej procedury. W artykule przedstawiono rozważania działania systemu SHM w przypadku pojazdu kolejowego.
Czasopismo
Rocznik
Tom
Strony
495--510
Opis fizyczny
Bibliogr. 29 poz., fot., rys., wykr.
Twórcy
Bibliografia
- 1. Kelly A., Harris M.J.: Management of industrial Maintenance, Buttersworth and Co. Ltd. 1978.
- 2. Moubray J.: Reliability- centered maintenance. Oxford, Butterworth Heinemann, 1991.
- 3. White E. N.: Maintenance planning, control and documentation. Epping, Essex, 1973.
- 4. Barke D., and Ciu W.K.: Structural health monitoring in the railway industry: a review. Structural Health Monitoring, 2005, 4(1), pp. 81-94.
- 5. Newman R.R., Leedham R.C., Tabacchi J., Purta D., Maderer G.G., and Galli R.: Hot bearing detection with the SMART-BOLT. In: IEEE Technical Papers Presented at the Joint ASME/IEEE/AAR Railroad Conference (Association of American Railroads) 1990, Chicago, IL, USA, IEEE, IEEE Service Center, Piscataway, NJ, USA, pp. 105-110.
- 6. Fec M.C., and Moyar G.J.: (1987). Railroad journal bearing failure and detection past, present and future. American Society of Mechanical Engineers (Paper) New York, NY, USA: ASME, pap 87-WA/RT-5, 14p.
- 7. Smith D.L.: (1988). Wayside inspection station. In: The IEEE/ASME Joint Railroad Conference, Piscataway, NJ, USA: IEEE, pp. 85-90.
- 8. McGuire B., Sarunac R.,Wiley R. B., and Klauser P.: UsingWayside Load Detectors for Preventive Vehicle Maintenance, Part 1, April, 2007, Journal of rail/wheel interaction, www.interfacejournal.com.
- 9. 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. In: 15th WCNDT World Conference on Non-Destructive Testing, Rome.
- 10. Nielsen J.C.O., and Johansson A.: (2000). Out-of round railway wheels - a literature survey. Proc. Inst.. Mech. Engrs, 214, Part F, 79-91.
- 11. Edwards M.C., Donelson J., III Zavis W.M., Prabhakaran A., Brabb D.C., and Jackson A.S.: (2005). Improving freight rail safety with on-board monitoring and control systems. Proceedings of the 2005 ASME/IEEE Joint, 117-122.
- 12. Newman R.R., Leedham R.C., Tabacchi J., Purta D., Maderer G.G., an И d Galli R.: (1990). Hot bearing detection with the 'SMART-BOLT'. In: IEEE Technical Papers Presented at the Joint ASME/IEEE/ AAR Railroad Conference (Association of American Railroads) 1990, Chicago, IL, USA, IEEE, IEEE Service Center, Piscataway, NJ, USA, pp. 105-110.
- 13. Ramkow-Pedersen O., and Danneskiold-Samsře U.: (2001). New on-line wheel tread defect monitoring system with built-in diagnosis facilities. In: 13th International Wheelset Conference, Rome, pp. 1-8.
- 14. Ohtani T.: (1995). Development of a wheel-flat detection system. In: 11th International Wheelset Conference, Paris, France, pp. 235-240.
- 15. Widmayer H.R.: (2001). 10 Years of experience with our high speed wheelset diagnosis for highspeed trains. In: Thirteenth International Wheelset Conference 2001, Rome.
- 16. Hackenberger D.E., and Lonsdale C.P.: (1998). Initial feasibility study to develop a wayside cracked railroad wheel detector. In: Proceedings of the IEEE/ASME Joint Railroad Conference, Philadelphia, PA, USA, Piscataway, NJ, USA: IEEE, pp. 65-77.
- 17. Jia S., and Dhanasekar M.: Detection of Rail Wheel Flats using Wavelet Approaches, Structural Health Monitoring 2007; 6; pp. 121-131.
- 18. Skarlatos D., Karakasis K., and Trochidis A.: (2004). Railway wheel fault diagnosis using fuzzy logic method. Applied Acoustics, 65, 951-966.
- 19. Choe H.C., Wan Y., and Chan A.K.: (1997). Neural pattern identification of railroad wheelbearing faults from audible acoustic signals: comparison of FFT, CWT, and DWT features. In: Proceedings of SPIE - The International Society for Optical Engineering 1997, Bellingham, WA, USA: Society of Photo-Optical Instrumentation Engineers, pp. 480-496.
- 20. Lee M.L., Chiu W.K., and Koss L.L.: (2005). A numerical study into the reconstruction of impact forces on railway track-like structures. Structural Health Monitoring: An International Journal, 4(1), 19-45.
- 21. Lee M.L., and Chiu W.K.: (2005). A comparative study on impact force prediction on a railway track-like structure. Structural Health Monitoring: An International Journal, 4(4), 355-376.
- 22. Lee M. L., and Chiu W. K.: Determination of Railway Vertical Wheel Impact Magnitudes: Field Trials, Structural Health Monitoring 2007; 6; 49-56.
- 23. Uhl T., Mendrok K.: "Application of the inverse identification techniques to the operational loads reconstruction" (in Polish), ITE, Radom, Polska 2005.
- 24. Uhl T., Mendrok K., Chudzikiewicz A.: Inverse identification problem - application to wheel-rail contact force measurements, The Archives of Transport, vol. 18, no. 2, s. 83-94, 2006.
- 25. Busby H. R., and Trujillo D. M.: "Optimal regularization of an inverse dynamic problem", Computers& Strucrures Vol. 63. No. 2. pp. 243-248. 1997.
- 26. Tikhonov A.N., and Arsenin V.Y.: "Solution of III-possed Problems", Winston and Sons, Washington,D.C., 1977.
- 27. Golub G. H., Heath M., and Wahba G.: Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics 21, pp. 215-223, 1979.
- 28. Lawson C. L., and Hansen R. J.: Solving Least Squares Problems. Prentice-Hall, Englewood Cliffs, NJ, 1974.
- 29. Bellman R.: On the Theory of Dynamic Programming, Proceedings of the National Academy of Sciences, 38, pp. 716-719, 1952.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ4-0019-0021