Data-driven fault diagnosis for dynamic traction systems in high-speed trains-Reference-Cited by-同舟云学术

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Data-driven fault diagnosis for dynamic traction systems in high-speed trains

Published:2020-04-01 Issue:4 Volume:50 Page:496-510
ISSN:1674-7267
Container-title:SCIENTIA SINICA Informationis
language:en
Short-container-title:Sci. Sin.-Inf.

Author:

CHEN Hongtian,JIANG Bin,YI Hui,LU Ningyun

Publisher

Science China Press., Co. Ltd.

Subject

Engineering (miscellaneous),General Computer Science

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning and Vehicle Fault Diagnosis System with IoT Enabled Data;2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI);2023-12-21

2. Research on Fault Diagnosis Algorithm of Subway Vehicle Door System Based on Multi-stage Feature Fusion of Vibration Signals;Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications;2023-11-18

3. Digital twins-based process monitoring for wastewater treatment processes;Reliability Engineering & System Safety;2023-10

4. Research on speed control of high-speed trains based on hybrid modeling;Archives of Transport;2023-06-30

5. Hybrid Fault Diagnosis for High Speed Wire Rod Finishing Mill;2023 6th International Symposium on Autonomous Systems (ISAS);2023-06-23

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