Fault Diagnosis of Train Bogie Bearing Based on AP-Tensor Clustering Under Multichannel Data
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70235-8_28
Reference19 articles.
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3. Jin, Z.Z., He, D.Q. and Wei, Z.X. (2022), Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN, Eng. Appl. Artif. Intell. 110, 104713
4. Zhang, D.C., Xie, M., Hamadache, M., Entezami, M., Stewart, E.: An adaptive graph morlet wavelet transform for railway wayside acoustic detection. J. Sound and Vibration. 529, 116965 (2022)
5. Man, J., Dong, H.H., Jia, L.M., Qin, Y.: AttGGCN model: a novel multi-sensor fault diagnosis method for high-speed train bogie. IEEE Trans. Intell. Transp. Syst. 23(10), 19511–19522 (2022)
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