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Deep learning-based fault diagnostic network of high-speed train secondary suspension systems for immunity to track irregularities and wheel wear

Yunguang Ye Ping Huang Yongxiang Zhang

铁道工程科学（英文）2022，Vol.30Issue(1)：96-116,21.

Deep learning-based fault diagnostic network of high-speed train secondary suspension systems for immunity to track irregularities and wheel wear

Yunguang Ye ¹Ping Huang ²Yongxiang Zhang³

作者信息

1. Institute of Land and Sea Transport Systems,Technical University of Berlin,Berlin 10587,Germany
2. National United Engineering Laboratory of Integrated and Intelligent Transportation,Southwest Jiaotong University,Chengdu 610031,China
3. Institute for Transport Planning and Systems,ETH Zurich,8093 Zurich,Switzerland
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摘要

关键词

High-speed train suspension system/Fault diagnosis/Track irregularities/Wheel wear/Deep learning/Literature review

Key words

High-speed train suspension system/Fault diagnosis/Track irregularities/Wheel wear/Deep learning/Literature review

引用本文复制引用

Yunguang Ye,Ping Huang,Yongxiang Zhang..Deep learning-based fault diagnostic network of high-speed train secondary suspension systems for immunity to track irregularities and wheel wear[J].铁道工程科学（英文）,2022,30(1):96-116,21.

基金项目

This work is supported by the National Nature Science Foundation of China(No.71871188),the Fundamental Research Funds for the Central Universities(No.2682021CX051),and the first author is also supported by China Scholarship Council(No.201707000113). （No.71871188）

铁道工程科学（英文）

ISSN：2662-4745

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