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Vehicle System Dynamics
International Journal of Vehicle Mechanics and Mobility
Volume 58, 2020 - Issue 9
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Articles

A data-driven method for estimating wheel flat length

Yunguang YeInstitute of Land and Sea Transport Systems, Technical University of Berlin, Berlin, GermanyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2921-8420View further author information
ORCID Icon,
Dachuan ShiInstitute of Land and Sea Transport Systems, Technical University of Berlin, Berlin, GermanyView further author information
,
Philipp KrauseInstitute of Land and Sea Transport Systems, Technical University of Berlin, Berlin, GermanyView further author information
&
Markus HechtInstitute of Land and Sea Transport Systems, Technical University of Berlin, Berlin, GermanyView further author information
Pages 1329-1347 | Received 21 Jan 2019, Accepted 11 May 2019, Published online: 22 May 2019

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Read on this site (2)

Yunfan Yang, Liang Ling, Chao Wang, Zhiqiang Liu, Kaiyun Wang & Wanming Zhai. (2022) Wheel/rail dynamic interaction induced by polygonal wear of locomotive wheels. Vehicle System Dynamics 60:1, pages 211-235.
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Yaping Luo, Fan Zhang, Zhiwei Wang, Weihua Zhang, Yukun Wang & Lei Liu. Dynamic response of the axle-box bearing of a high-speed train excited by wheel flat. Vehicle System Dynamics 0:0, pages 1-23.
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Articles from other publishers (21)

Yichang Zhou, Jonas Vuitton, Qiuyong Tian & Markus Hecht. (2024) Wheel flat detection by using the angular domain synchronous averaging method and axle box acceleration: Simulation and experiment. Measurement 230, pages 114508.
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Yifan Yang, Yichang Zhou & Markus Hecht. (2024) Investigations on wagon–track interaction and running safety with unsupported sleepers. Transportation Geotechnics 45, pages 101204.
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Myeong-Seok Go, Seongji Han, Jae Hyuk Lim & Jin-Gyun Kim. (2023) An efficient fixed-time increment-based data-driven simulation for general multibody dynamics using deep neural networks. Engineering with Computers 40:1, pages 323-341.
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Yichang Zhou, Qiuyong Tian & Markus Hecht. (2023) Wheel flat detection on railway vehicles using the angular domain synchronous averaging method: an experimental study. Structural Health Monitoring 23:1, pages 343-359.
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Jaeseok Shim, Jeongseo Koo & Yongwoon Park. (2023) A Methodology of Condition Monitoring System Utilizing Supervised and Semi-Supervised Learning in Railway. Sensors 23:22, pages 9075.
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Nikolaos Kaliorakis, John S. Sakellariou & Spilios D. Fassois. (2023) On-Board Random Vibration-Based Robust Detection of Railway Hollow Worn Wheels under Varying Traveling Speeds. Machines 11:10, pages 933.
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Cássio Bragança, Edson F. Souza, Diogo Ribeiro, Andreia Meixedo, Túlio N. Bittencourt & Hermes Carvalho. (2023) Drive-by Methodologies Applied to Railway Infrastructure Subsystems: A Literature Review—Part II: Track and Vehicle. Applied Sciences 13:12, pages 6982.
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Yunguang Ye, Caihong Huang, Jing Zeng, Yichang Zhou & Fansong Li. (2023) Shock detection of rotating machinery based on activated time-domain images and deep learning: An application to railway wheel flat detection. Mechanical Systems and Signal Processing 186, pages 109856.
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Dali Lyu, Qichang Zhang, Kewei Lyu, Yulong Li & Jiaxing Liu. (2022) A numerical method combining finite element and neural network model to study dynamic system prediction of dry friction. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 236:11, pages 2180-2188.
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Yohanis Dabesa Jelila & Wiesław Pamuła. (2022) Detection of Tram Wheel Faults Using MEMS-Based Sensors. Sensors 22:17, pages 6373.
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V. S. Vyplaven, S. A. Bekher, A. O. Kolomeets, A. A. Popkov & A. S. Kochetkov. (2022) REPRODUCIBILITY AND REPEATABILITY OF THE RESULTS OF STRAIN GAUGE CONTROL OF THE TREAD OF MOVING WAGON WHEELS. Journal of Applied Mechanics and Technical Physics 63:4, pages 721-730.
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Qinglin Xie, Gongquan Tao, Bin He & Zefeng Wen. (2022) Rail corrugation detection using one-dimensional convolution neural network and data-driven method. Measurement 200, pages 111624.
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Yunguang Ye, Bin Zhu, Ping Huang & Bo Peng. (2022) OORNet: A deep learning model for on-board condition monitoring and fault diagnosis of out-of-round wheels of high-speed trains. Measurement 199, pages 111268.
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Jian Mu, Jing Zeng, Qunsheng Wang & Hutang Sang. (2021) Determination of mapping relation between wheel flat and wheel/rail contact force for railway freight wagon using dynamic simulation. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 236:5, pages 545-556.
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Dachuan Shi, Yunguang Ye, Marco Gillwald & Markus Hecht. (2022) Robustness enhancement of machine fault diagnostic models for railway applications through data augmentation. Mechanical Systems and Signal Processing 164, pages 108217.
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Yunguang Ye, Ping Huang, Yu Sun & Dachuan Shi. (2021) MBSNet: A deep learning model for multibody dynamics simulation and its application to a vehicle-track system. Mechanical Systems and Signal Processing 157, pages 107716.
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Benjamin Baasch, Judith Heusel, Michael Roth & Thorsten Neumann. (2021) Train Wheel Condition Monitoring via Cepstral Analysis of Axle Box Accelerations. Applied Sciences 11:4, pages 1432.
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Yunguang Ye, Yu Sun, Shiping Dongfang, Dachuan Shi & Markus Hecht. (2020) Optimizing wheel profiles and suspensions for railway vehicles operating on specific lines to reduce wheel wear: a case study. Multibody System Dynamics 51:1, pages 91-122.
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Yun-guang Ye, Da-chuan Shi, Sara Poveda-Reyes & Markus Hecht. (2020) Quantification of the influence of rolling stock failures on track deterioration量化铁路车辆机械故障对轨道退化的影响. Journal of Zhejiang University-SCIENCE A 21:10, pages 783-798.
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Yunguang Ye, Yayun Qi, Dachuan Shi, Yu Sun, Yichang Zhou & Markus Hecht. (2020) Rotary-scaling fine-tuning (RSFT) method for optimizing railway wheel profiles and its application to a locomotive. Railway Engineering Science 28:2, pages 160-183.
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Yongliang Bai, Jianwei Yang, Jinhai Wang & Qiang Li. (2020) Intelligent Diagnosis for Railway Wheel Flat Using Frequency-Domain Gramian Angular Field and Transfer Learning Network. IEEE Access 8, pages 105118-105126.
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