Research on vehicle diagnosis based on state-space method

Peng Xue, Xiao-dong Chai, Shu-bin Zheng


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-vehiclesystem to identify the parameters of vehicle suspension system. The simulation results show that, in the circumstances of thechange of the parameters which is resulted from the gradual fault or the composite fault of the suspension system, the simulationresults can effectively identify the basic characteristics of its parameters, realize vehicle fault diagnosis, so as to achieve thepurpose of monitoring the state of suspension system, and provide a method for rail vehicle online condition monitoring.

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Artificial Intelligence Research

ISSN 1927-6974 (Print)   ISSN 1927-6982 (Online)

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