With the strong investment in the construction of rail transportation,the relevant requirements for the condition monitoring and fault repair of railway vehicles also rise.Particularly under the background of speed rise and heavy load,the incidence of train running gear failure increases substantially.To fix this problem,based on MIMX RT1064 efficient image microprocessor,this paper uses OpenART mini high-speed camera to obtain the moving train running gear image,and then transmits it to PC through ESP8266 Wi-Fi module.After the image is filtered and de-noised,the InceptionNet-V3 convolutional neural network model is used for training,and the final feedback is provided to OpenART mini so that the running state can be checked more precisely in real time.The results indicate that the system can not only complete the high frequency and steady transmission of the train running part image,but also accurately and reliably identify the train bogie faults.
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