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To detect the rolling bearings fault of metro vehicle, a method combined wavelet packet with RBF neural network is proposed in this paper. Firstly, wavelet denoising is performed for the vibration signal to remove invalid signal. And then, energy characteristic vectors of the fault signals are extracted by wavelet packet decomposing to train the RBF neural network. Finally, the trained RBF neural...
To describe the relationship between failure modes and maintenance cycle, an preventive maintenance cycle optimization model for the metro vehicle is introduced. The fault data is statistically analyzed in accordance with the Heinrich safety rule. And the fault distribution type of the system is determined using the AMSAA(Army Materiel Systems Analysis Activity) model. Then, the optimal mathematical...
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