Publication Cover
Vehicle System Dynamics
International Journal of Vehicle Mechanics and Mobility
Volume 61, 2023 - Issue 8
449
Views
5
CrossRef citations to date
0
Altmetric
Research Article

A new DFT-based dynamic detection framework for polygonal wear state of railway wheel

ORCID Icon, , , , , , & show all
Pages 2051-2073 | Received 31 Mar 2022, Accepted 07 Jul 2022, Published online: 22 Jul 2022

References

  • Sun Y, Zhai W, Ye Y, et al. A simplified model for solving wheel-rail non-hertzian normal contact problem under the influence of yaw angle. Int J Mech Sci. 2020;174:1–13.
  • Jin X. A measurement and evaluation method for wheel-rail contact forces and axle stresses of high-speed train. Measurement ( Mahwah N J). 2020;149:106983.
  • Cui D, Zhang X, Wang R, et al. The effect of 3D wear state of wheel polygon on wheel-rail system dynamics. Veh Syst Dyn. 2021. doi:10.1080/00423114.2021.1939064.
  • Steenbergen M. The role of the contact geometry in wheel-rail impact due to wheel flats. Veh Syst Dyn. 2007;45(12):1097–1116.
  • Li Y, Zuo M, Lin J, et al. Fault detection method for railway wheel flat using an adaptive multiscale morphological filter. Mech Syst Signal Process. 2017;84(1):642–658.
  • Ye Y, Shi D, Krause P, et al. Wheel flat can cause or exacerbate wheel polygonization. Veh Syst Dyn. 2020;58(10):1575–1604.
  • Nielsen J. Out-of-round railway wheels. In: Lewis R, Olofsson O, editors. Wheel-Rail Interface Handbook. Cambridge: Woodhead Publishing; 2009. p. 245–279.
  • Jin X, Wu Y, Liang S, et al. Characteristics, mechanism, influences and countermeasures of polygonal wear of high-speed train wheels. J Mech Eng. 2020;56(16):118–136. (in Chinese).
  • Wu H, Wu P, Li F, et al. Fatigue analysis of the gearbox housing in high-speed trains under wheel polygonization using a multibody dynamics algorithm. Eng Fail Anal. 2019;100:351–364.
  • Bogacz R, Frischmuth K. On dynamic effects of wheel-rail interaction in the case of polygonalisation. Mech Syst Signal Process. 2016;79:166–173.
  • Yang Y, Ling L, Wang C, et al. Wheel/rail dynamic interaction induced by polygonal wear of locomotive wheels. Veh Syst Dyn. 2020;60(5):211–235.
  • Wang Q, Zhou J, Gong D, et al. Fatigue life assessment method of bogie frame with time-domain extrapolation for dynamic stress based on extreme value theory. Mech Syst Signal Process. 2021;159(2):107829.
  • Barke D, Chiu W. A review of the effects of out-of-round wheels on track and vehicle components. Proc IMechE Part F J Rail Rapid Transit. 2005;219(3):151–175.
  • Yang Y, Ling L, Liu P, et al. Experimental investigation of essential feature of polygonal wear of locomotive wheels. Measurement ( Mahwah N J). 2020;166:108199.
  • Morys B. Enlargement of out-of-round wheel profiles on high speed trains. J Sound Vib. 1999;227(5):965–978.
  • Meinke P, Meinke S. Polygonalization of wheel treads caused by static and dynamic imbalances. J Sound Vib. 1999;227(5):979–986.
  • Jin X, Wu L, Fang J, et al. An investigation into the mechanism of the polygonal wear of metro train wheels and its effect on the dynamic behaviour of a wheel/rail system. Veh Syst Dyn. 2012;50(12):1817–1834.
  • Tao G, Wang L, Wen Z, et al. Experimental investigation into the mechanism of the polygonal wear of electric locomotive wheels. Veh Syst Dyn. 2018;56(6):883–899.
  • Wu X, Rakheja S, Cai W, et al. A study of formation of high order wheel polygonalization. Wear. 2019;424-425:1–14.
  • Meywerk M. Polygonalization of railway wheels. Arch Appl Mech. 1999;69(2):105–120.
  • Chen G, Jin X WUP, et al. Finite element study on the generation mechanism of polygonal wear of railway wheels. J China Railway Soc. 2011;33(1):14–18. (in Chinese).
  • Zhao X, Chen G, Lv J, et al. Study on the mechanism for the wheel polygonal wear of high-speed trains in terms of the frictional self-excited vibration theory. Wear. 2019;426-427:1820–1827.
  • Wu B, Shang Z, Pan J, et al. Analysis on the formation cause for the high-order wheel polygonization of the high-speed trains based on the finite element method. Veh Syst Dyn. 2022. doi:10.1080/0042311 4.2022.2035777.
  • Johansson A, Andersson C. Out-of-round railway wheels—a study of wheel polygonalization through simulation of three-dimensional wheel–rail interaction and wear. Veh Syst Dyn. 2005;43(8):539–559.
  • Nielsen J, Johansson A. Out-of-round railway wheels-a literature survey. Proc IMechE Part F J Rail Rapid Transit. 2000;214(2):79–91.
  • Zhu H, Hu H, Yi B, et al. Research progress on wheel polygons of rail vehicle. J Traffic Transp Eng. 2020;20(01):102–119. (in Chinese).
  • Nielsen J, Oscarsson J. Structural health monitoring of railroad wheels using wheel impact load detectors. J Fail Anal Prev. 2007;7(3):218–225.
  • Johansson A, Nielsen J. Out-of-round railway wheels—wheel-rail contact forces and track response derived from field tests and numerical simulations. Proc IMechE Part J J Rail Rapid Transit. 2003;217(2):135–146.
  • Palo M, Galar D, Nordmark T, et al. Condition monitoring at the wheel/rail interface for decision-making support. Proc IMechE Part F J Rail Rapid Transit. 2014;228(1):705–715.
  • Skarlatos D, Karakasis K, Trochidis A. Railway wheel fault diagnosis using a fuzzy-logic method. Appl Acoust. 2004;65(10):951–966.
  • Lee M, Chiu W. Determination of railway vertical wheel impact magnitudes: field trials. Struct Health Monit. 2007;6(1):49–65.
  • Feng Q, Zhang Z, Chen S, et al. A novel method for dynamically measuring diameters of train wheels using laser displacement transducers. Chinese J Lasers. 2008;35(7):1059–1062. (in Chinese).
  • Bernal E, Martinod R, Betancur G. Partial-profilogram reconstruction method to measure the geometric parameters of wheels in dynamic condition. Veh Syst Dyn. 2016;54(5):606–616.
  • Salzburger H, Schuppmann M, Li W, et al. In-motion ultrasonic testing of the tread of high-speed railway wheels using the inspection system AUROPA III. Insight. 2009;51(7):370–372.
  • Ding J, Lin J, Yi C, et al. Dynamic detection of out-of-round wheels using a comparison of time-frequency feature locatings. Zhendong yu Chongji/J Vibration Shock. 2013;32(19):39–43. (in Chinese).
  • Zhou X, Chen G, Zhao X. Fault diagnosis of wheel thread flats based on empirical mode decomposition and ANNs. Lubrication Eng. 2015;40(6):13–18. (in Chinese).
  • Li Y, Liu J, Wang Y. Railway wheel flat detection based on improved empirical mode decomposition. Shock Vib. 2016;4879283.
  • Song Y, Liang L, Du Y. Railway polygonized wheel detection based on numerical time-frequency analysis of axle-box acceleration. Appl Sci-Basel. 2020;10(5):1613.
  • Huang N, Shen Z, Long S, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. P Roy Soc A-Math Phy. 1998;454:903–995.
  • Sun Q, Chen C, Kemp A, et al. An on-board detection framework for polygon wear of railway wheel based on vibration acceleration of axle-box. Mech Syst Signal Process. 2021;153(1):107540.
  • Xiao Q, Wang D, Chen D, et al. Review on mechanism and influence of wheel-rail excitation of high-speed train. Journal of Traffic and Transportation Engineering. 2021;21(03):93–109. (in Chinese).
  • Nielsen J, Lunden R, Johansson A, et al. Train-track interaction and mechanisms of irregular wear on wheel and rail surfaces. Veh Syst Dyn. 2003;40(1-3):3–54.
  • Cui D, Zhang W, Tian G, et al. Designing the key parameters of EMU bogie to reduce side wear of rail. Wear. 2016;366/367:49–59.
  • Li R, Xuan J, Shi T. Frequency estimation based on symmetric discrete Fourier transform. Mech Syst Signal Pr. 2021;160:107911.
  • Feng C, Ma Y, Tu X, et al. A note on the concordance correlation coefficient. Adv Appl Stat. 2010;15(2):195–205.
  • Fang L, Duan D, Yang L. A new DFT-based frequency estimator for single-tone complex sinusoidal signals). Military communications conference, IEEE; 2012.
  • Bai G, Cheng Y, Tang W, et al. A frequency estimation algorithm of sinusoidal signal capable of DFT and iterative correction. J Signal Process. 2017;33(12):1536–1541. (in Chinese).
  • Candan C. A method for fine resolution frequency estimation from three DFT samples. IEEE Signal Proc Let. 2011;18(6):351–354.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.