A Time-Delay Low-Rank Reconstruction and Attention-BP-LSTM Framework for Axle-Box Bearing Temperature Prediction in Railway Vehicles.
- DOI
- 10.3390/s26165137
- Published
- 2026 Aug 14
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26165137,
title = {A Time-Delay Low-Rank Reconstruction and Attention-BP-LSTM Framework for Axle-Box Bearing Temperature Prediction in Railway Vehicles.},
author = {Xie Y and Xie K and Zou J and Li W and Liu Y},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26165137},
url = {https://doi.org/10.3390/s26165137}
}RIS
TY - JOUR TI - A Time-Delay Low-Rank Reconstruction and Attention-BP-LSTM Framework for Axle-Box Bearing Temperature Prediction in Railway Vehicles. AU - Xie Y AU - Xie K AU - Zou J AU - Li W AU - Liu Y PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26165137 UR - https://doi.org/10.3390/s26165137 ER -
APA
Y, X., K, X., J, Z., W, L., & Y, L. (2026). A Time-Delay Low-Rank Reconstruction and Attention-BP-LSTM Framework for Axle-Box Bearing Temperature Prediction in Railway Vehicles.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26165137
Source records
- pubmed · retrieved 2026-09-25T04:31:00.603Z