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DING Jian-ming, LIN Jian-hui, ZHAO Jie, HUANG Chen-guang. Comparison method of energy transfer characteristics for fault detection of vehicle suspension spring[J]. Journal of Traffic and Transportation Engineering, 2013, 13(4): 51-55. doi: 10.19818/j.cnki.1671-1637.2013.04.008
Citation: DING Jian-ming, LIN Jian-hui, ZHAO Jie, HUANG Chen-guang. Comparison method of energy transfer characteristics for fault detection of vehicle suspension spring[J]. Journal of Traffic and Transportation Engineering, 2013, 13(4): 51-55. doi: 10.19818/j.cnki.1671-1637.2013.04.008
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Comparison method of energy transfer characteristics for fault detection of vehicle suspension spring

doi: 10.19818/j.cnki.1671-1637.2013.04.008

  • State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

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  • Author Bio:

    DING Jian-ming(1981-), male, assistant researcher, PhD, +86-28-87600843, fdingjianming@126.com

  • Received Date: 2013-03-25
  • Publish Date: 2013-08-25
    Abstract
  • The frequency shift characteristics of suspension transfer function under different spring stiffnesses were analyzed, and a new dynamic detecting method of vehicle suspension spring fault was developed.The vertical vibration accelerations of car body and bogie at the locations installed with suspension springs were respectively decomposed by seven-layer harmonic wavelet packet, and the eight low scales energies were calculated.The suspension's scale energy transfer characteristics were got through the division of car body and frame acceleration energies in each scale.The comparison method of suspension's scale energy transfer characteristics in adjacent periods was constructed to achieve the failure detection of suspension spring.Detection result shows that suspension's energy transfer characteristic changes to high scale due to spring stiffness metamorphosis, which is consistent with the conclusion drawn from the detection mechanism analysis to low frequency change, and the method correctly detects suspension failure with 10% stiffness metamorphosis.Therefor, the method has high reliability and good engineering applicability.

     

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    • References(14)
  • [1]
    CHENG Hai-tao, DING Xu-jie. Dynamics performance optimization analysis of passenger cars equipped with SW-160bogie[J]. China Railway Science, 2004, 25 (2): 66-71. (in Chinese). doi: 10.3321/j.issn:1001-4632.2004.02.014
    [2]
    CHI Mao-ru, ZHANG Wei-hua, ZENG Jing, et al. Study of suspension parameter of high speed passenger car bogies[J]. Journal of Dalian Jiaotong University, 2007, 28 (3): 13-19. (in Chinese). doi: 10.3969/j.issn.1673-9590.2007.03.004
    [3]
    ZHAO Na, CAO Deng-qing. Nonlinear dynamical model with fault parameters for railway vehicles[J]. Journal of Vibration and Shock, 2009, 28 (6): 122-125, 199. (in Chinese). doi: 10.3969/j.issn.1000-3835.2009.06.029
    [4]
    LI P, GOODALL R, KADIRKAMANATHAN V. Estimation of parameters in a linear state space model using a RaoBlackwellised particle filter[J]. IEE Proceedings—Control Theory and Application, 2004, 151 (6): 727-738. doi: 10.1049/ip-cta:20041008
    [5]
    LI P, GOODALL R, WESTON P, et al. Estimation of railway vehicle suspension parameters for condition monitoring[J]. Control Engineering Practice, 2006, 15 (1): 43-55.
    [6]
    KADIRKAMANATHAN V, LI P, JAWARD M H, et al. Particle filtering-based fault detection in nonlinear stochastic systems[J]. International Journal of Systems Science, 2002, 33 (4): 259-265. doi: 10.1080/00207720110102566
    [7]
    HAYASHI Y, TSUNASHIMA H, MARUMO Y. Fault detection of railway vechicle suspension systems using multiplemodel approach[J]. Journal of Mechanical Systems for Transportation and Logistics, 2008, 1 (1): 88-99. doi: 10.1299/jmtl.1.88
    [8]
    MEI T X, DING X J. A model-less technique for the fault detection of rail vehicle suspensions[J]. Vehicle System Dynamics, 2008, 46 (S): 277-287.
    [9]
    BRUNI S, GOODALL R, MEI T X, et al. Control and monitoring for railway vehicle dynamics[J]. Vehicle System Dynamics, 2007, 45 (7/8): 743-779.
    [10]
    NEWLAND D E. Harmonic wavelet analysis[J]. Proceedings: Mathematical and Physical Sciences, 1993, 443 (10): 203-225.
    [11]
    YAN R Q, GAO R X. An efficient approach to machine health diagnosis based on harmonic wavelet packet transform[J]. Robotics and Computer-Integrated Manufacturing, 2005, 21 (4/5): 291-301.
    [12]
    DING Jian-ming, LIN Jian-hui, REN Yu, et al. Real-time diagnosis of bearing faults based on harmonic wavelet energy entropy[J]. Journal of Mechanical Strength, 2011, 33 (4): 483-487. (in Chinese).
    [13]
    CHEN Guo. An improved harmonic wavelet and its application to rotor faults diagnosis[J]. Journal of Mechanical Engineering, 2011, 47 (1): 8-16. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB201101003.htm
    [14]
    ZHAI Wan-ming. The vertical model of vehicle-track system and its coupling dynamics[J]. Journal of the China Railway Society, 1992, 14 (3): 10-21. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-TDXB199203001.htm
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