Deep learning-based fault diagnostic network of high-speed train secondary suspension systems for immunity to track irregularities and wheel wearOA
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
Institute of Land and Sea Transport Systems,Technical University of Berlin,Berlin 10587,GermanyNational United Engineering Laboratory of Integrated and Intelligent Transportation,Southwest Jiaotong University,Chengdu 610031,ChinaInstitute for Transport Planning and Systems,ETH Zurich,8093 Zurich,Switzerland
High-speed train suspension systemFault diagnosisTrack irregularitiesWheel wearDeep learningLiterature review
High-speed train suspension systemFault diagnosisTrack irregularitiesWheel wearDeep learningLiterature review
《铁道工程科学（英文）》 2022 (1)
96-116,21
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).
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