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Cited article:

A novel abnormal detection method for bearing temperature based on spatiotemporal fusion

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https://doi.org/10.1177/09544097211022105

Evaluation of Chinese freight train bearing condition based on spatiotemporal feature extraction

Jin Si, Hongmei Shi and Jinsong Yang
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 236 (9) 1047 (2022)
https://doi.org/10.1177/09544097211061944

A New Hybrid Ensemble Deep Learning Model for Train Axle Temperature Short Term Forecasting

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Machines 9 (12) 312 (2021)
https://doi.org/10.3390/machines9120312

Intelligent Data Communication Technologies and Internet of Things

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Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019

Xiaoming Yang, Honghui Dong, Jie Man, et al.
Lecture Notes in Electrical Engineering, Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 639 685 (2020)
https://doi.org/10.1007/978-981-15-2866-8_65

Axle Temperature Monitoring and Neural Network Prediction Analysis for High-Speed Train under Operation

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Symmetry 12 (10) 1662 (2020)
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A novel axle temperature forecasting method based on decomposition, reinforcement learning optimization and neural network

Hui Liu, Chengming Yu, Chengqing Yu, Chao Chen and Haiping Wu
Advanced Engineering Informatics 44 101089 (2020)
https://doi.org/10.1016/j.aei.2020.101089

Handbook of Research on Interdisciplinary Approaches to Decision Making for Sustainable Supply Chains

Nastaran Enshaei, Amin Hammad and Farnoosh Naderkhani
Advances in Logistics, Operations, and Management Science, Handbook of Research on Interdisciplinary Approaches to Decision Making for Sustainable Supply Chains 433 (2019)
https://doi.org/10.4018/978-1-5225-9570-0.ch020