Research on vehicle diagnosis based on state-space method

نویسندگان

  • Peng Xue
  • Xiao-dong Chai
  • Shu-bin Zheng
چکیده

In this paper, the vehicle faults are estimated and diagnosed by introducing wavelet transform, based on the state-space method. It monitors the state of railway vehicle suspension system, establishes a vertical dynamic state-space model of railway-vehicle system to identify the parameters of vehicle suspension system. The simulation results show that, in the circumstances of the change of the parameters which is resulted from the gradual fault or the composite fault of the suspension system, the simulation results can effectively identify the basic characteristics of its parameters, realize vehicle fault diagnosis, so as to achieve the purpose of monitoring the state of suspension system, and provide a method for rail vehicle online condition monitoring.

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عنوان ژورنال:
  • Artif. Intell. Research

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2015