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Vehicle System Dynamics
International Journal of Vehicle Mechanics and Mobility
Volume 55, 2017 - Issue 12
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Articles

A signal-based fault detection and classification method for heavy haul wagons

Chunsheng LiState Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, People's Republic of China;Centre for Railway Engineering, CQUniversity, Rockhampton, AustraliaCorrespondence[email protected]
,
Shihui LuoState Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, People's Republic of China
,
Colin ColeCentre for Railway Engineering, CQUniversity, Rockhampton, Australia
,
Maksym SpiryaginCentre for Railway Engineering, CQUniversity, Rockhampton, Australia
&
Yanquan SunCentre for Railway Engineering, CQUniversity, Rockhampton, Australia
Pages 1807-1822 | Received 20 Feb 2017, Accepted 20 May 2017, Published online: 06 Jun 2017

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Read on this site (2)

Yongjun Pan, Yu Sun, Chuan Min, Zhixiong Li & Paolo Gardoni. (2023) Maneuver-based deep learning parameter identification of vehicle suspensions subjected to performance degradation. Vehicle System Dynamics 61:5, pages 1260-1276.
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Jianfeng Sun, Enrico Meli, Wubin Cai, Hongxin Gao, Maoru Chi, Andrea Rindi & Shulin Liang. (2021) A signal analysis based hunting instability detection methodology for high-speed railway vehicles. Vehicle System Dynamics 59:10, pages 1461-1483.
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Articles from other publishers (3)

Pedro Moreira Ordiales Millan, João Emanuel Carvalho Pagaimo, João Neves Costa, Nuno Manuel Mendes Maia & Jorge Alberto Cadete Ambrósio. (2023) On the use of transmissibility for the detection of damaged springs in the primary suspension of a locomotive. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit.
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Dawei Zhang, Peijuan Xu, Yiyang Tian, Chen Zhong & Xu Zhang. (2023) Ballasted Track Behaviour Induced by Absent Sleeper Support and its Detection Based on a Convolutional Neural Network Using Track Data. Urban Rail Transit 9:2, pages 92-109.
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Esteban Bernal, Maksym Spiryagin & Colin Cole. (2019) Onboard Condition Monitoring Sensors, Systems and Techniques for Freight Railway Vehicles: A Review. IEEE Sensors Journal 19:1, pages 4-24.
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