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- W4313152086 abstract "To improve the safety of High-speed trains’ operation and reduce the bogie maintenance cost and failure rate, this paper proposes a digital twin-based framework for fault diagnosis of bogies. A digital twin system of the bogie is constructed from seven dimensions. Then a framework for the fault diagnosis of the high-speed train bogie is proposed, in which a multi-layer convolutional neural network is adopted for fault diagnosis." @default.
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- W4313152086 date "2023-01-01" @default.
- W4313152086 modified "2023-09-29" @default.
- W4313152086 title "A Digital Twin-Based Fault Diagnosis Framework for Bogies of High-Speed Trains" @default.
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- W4313152086 doi "https://doi.org/10.1109/jrfid.2022.3216331" @default.
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