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Vehicle System Dynamics
International Journal of Vehicle Mechanics and Mobility
Volume 61, 2023 - Issue 8
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Research Article

A new DFT-based dynamic detection framework for polygonal wear state of railway wheel

Qiushi Wanga Institute of Rail Transit, Tongji University, Shanghai, People’s Republic of China;b School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, SingaporeORCID Iconhttps://orcid.org/0000-0001-6898-1800View further author information
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Zhongmin Xiaob School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, SingaporeCorrespondence[email protected]
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,
Jinsong Zhoua Institute of Rail Transit, Tongji University, Shanghai, People’s Republic of ChinaCorrespondence[email protected]
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Dao Gonga Institute of Rail Transit, Tongji University, Shanghai, People’s Republic of ChinaView further author information
,
Zegen Wanga Institute of Rail Transit, Tongji University, Shanghai, People’s Republic of ChinaView further author information
,
Zhanfei Zhanga Institute of Rail Transit, Tongji University, Shanghai, People’s Republic of ChinaView further author information
,
Tengfei Wanga Institute of Rail Transit, Tongji University, Shanghai, People’s Republic of ChinaView further author information
&
Yanling Hea Institute of Rail Transit, Tongji University, Shanghai, People’s Republic of ChinaView further author information
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Pages 2051-2073 | Received 31 Mar 2022, Accepted 07 Jul 2022, Published online: 22 Jul 2022

Citations (5)

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Read on this site (3)

Qiushi Wang, Zhongmin Xiao, Jinsong Zhou, Dao Gong, Zhanfei Zhang, Zegen Wang, Tengfei Wang & Yanling He. (2023) A dynamic detection method for polygonal wear of railway wheel based on parametric power spectral estimation. Vehicle System Dynamics 61:9, pages 2352-2374.
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Qinglin Xie, Gongquan Tao, Siu Ming Lo, Wubin Cai & Zefeng Wen. (2023) High-speed railway wheel polygon detection framework using improved frequency domain integration. Vehicle System Dynamics 0:0, pages 1-22.
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Simon Iwnicki, Jens C. O. Nielsen & Gongquan Tao. (2023) Out-of-round railway wheels and polygonisation. Vehicle System Dynamics 61:7, pages 1787-1830.
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Articles from other publishers (2)

Xi Kang, Guangxiong Chen, Xiang Chen, Congying Deng, Ying Ma, Yang Zhao & Sheng Lu. (2023) Analysis of the generation mechanism and evolution of the wheel high-order polygonal wear of subway trains. Engineering Failure Analysis 151, pages 107375.
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Wentian Xu, Maoru Chi, Wubin Cai, Gongquan Tao, Jianfeng Sun, Yabo Zhou & Shulin Liang. (2023) An anti-disturbance method for on-board detection of early wheel polygonal wear by weighted angle-synchronous moving average. Measurement 216, pages 112999.
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