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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2008  >  8(6): 13-19
ZHANG Jian, FAN Xiao-ping, HUANG Cai-lun, CHEN Te-fang. Fusion monitoring system of locomotive wheelset state[J]. Journal of Traffic and Transportation Engineering, 2008, 8(6): 13-19.
Citation: ZHANG Jian, FAN Xiao-ping, HUANG Cai-lun, CHEN Te-fang. Fusion monitoring system of locomotive wheelset state[J]. Journal of Traffic and Transportation Engineering, 2008, 8(6): 13-19.
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Fusion monitoring system of locomotive wheelset state

  • 1.

    School of Information and Engineering, Central South University, Changsha 410083, Hunan, China

  • 2.

    Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, Hunan, China

More Information
  • Author Bio:

    ZHANG Jian (1974-), male, associate professor, doctoral student, +86-732-8290480, jzhang@hnust.edu.cn

    FAN Xiao-ping (1961-), male, professor, PhD, +86-731-8836423, xpfan@mail.csu.edu.cn

  • Received Date: 2008-07-15
  • Publish Date: 2008-12-25
    Abstract
  • In order to improve the accuracy of fault diagnosis and the uncertainty of current online condition monitoring methods for locomotive wheelset, a fusion monitoring system of locomotive wheelset was designed based on multi-sensor information fusion principle. The state of locomotive wheelset was monitored by using feature level fusion adaptive weighting algorithm, and the measured values were weighted adaptively to obtain the least-mean-square error of the measured values. The results computed by feature level fusion adaptive weighting algorithm, fuzzy data association algorithm, variable structure multiple-model estimation algorithm and BP nerve network(BPNN) algorithm were compared. Comparison result shows that when the fault occurs in the bearings of wheelset, the measured values are 22.047 0 and 21.025 0 respectively, while the estimation value from the fusion algorithm is 4.264 2, so the system has high reliability and better anti-disturbance.

     

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