多重モデル法を用いた鉄道車両の状態診断(<小特集>TRANSLOG2009/J-RAIL2009)  [in Japanese] Condition Monitoring of Railway Vehicles Using Multiple Model Approach(<Special Issue>TRANSLOG2009/J-RAIL2009)  [in Japanese]

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Abstract

This paper demonstrates the possibility to detect suspension failures of railway vehicles using a multiple-model approach from on-board measurement data. The railway vehicle model used includes the lateral and yaw motions of the wheelsets and bogie, and the lateral motion of the vehicle body, with sensors measuring the lateral acceleration and yaw rate of the bogie, and lateral acceleration of the body. The detection algorithm is formulated based on the Interacting Multiple-Model (IMM) algorithm adding a method updating estimation model. The IMM method has been applied for detecting faults in vehicle suspension systems in a simulation study. The mode probabilities and states of vehicle suspension systems are estimated based on a Kalman Filter (KF). This algorithm is evaluated in simulation examples. Simulation results indicate that the algorithm effectively detects on-board faults of railway vehicle suspension systems in realistic situation.

Journal

  • TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C

    TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C 76(770), 2364-2371, 2010

    The Japan Society of Mechanical Engineers

References:  10

Cited by:  1

Codes

  • NII Article ID (NAID)
    110007817347
  • NII NACSIS-CAT ID (NCID)
    AN00187463
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    0387-5024
  • NDL Article ID
    10883584
  • NDL Source Classification
    ZN11(科学技術--機械工学・工業)
  • NDL Call No.
    Z16-1056
  • Data Source
    CJP  CJPref  NDL  NII-ELS  J-STAGE 
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