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Vehicle System Dynamics
International Journal of Vehicle Mechanics and Mobility
Volume 58, 2020 - Issue 4
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Original Articles

Correlation signal subset-based stochastic subspace identification for an online identification of railway vehicle suspension systems

Fulong LiuCentre for Efficiency and Performance Engineering (CEPE), School of Computing and Engineering, University of Huddersfield, Huddersfield, UKORCID Iconhttps://orcid.org/0000-0003-1155-1759View further author information
ORCID Icon,
Hao ZhangSchool of Mechanical Engineering, Hebei University of Technology, Tianjin, People’s Republic of ChinaCorrespondence[email protected]
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Xiaocong HeInnovative Manufacturing Research Centre, Kunming University of Science and Technology, Kunming, People’s Republic of ChinaView further author information
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Yunshi ZhaoTraction Power State Key Laboratory, Southwest Jiaotong University, ChengDu, People’s Republic of ChinaView further author information
,
Fengshou GuCentre for Efficiency and Performance Engineering (CEPE), School of Computing and Engineering, University of Huddersfield, Huddersfield, UKORCID Iconhttps://orcid.org/0000-0003-4907-525XView further author information
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Andrew D. BallCentre for Efficiency and Performance Engineering (CEPE), School of Computing and Engineering, University of Huddersfield, Huddersfield, UKORCID Iconhttps://orcid.org/0000-0001-7540-8965View further author information
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Pages 569-589 | Received 23 Jul 2018, Accepted 24 Feb 2019, Published online: 14 Mar 2019

Citations (8)

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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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Funing Yang, Jikai Liu, Chunrong Hua, Weiqun Liu & Dawei Dong. Early fault diagnosis strategy for high-speed train suspension systems based on model-agnostic meta-learning. Vehicle System Dynamics 0:0, pages 1-23.
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Articles from other publishers (6)

Hector A. Fernandez-Bobadilla & Ullrich Martin. (2023) Modern Tendencies in Vehicle-Based Condition Monitoring of the Railway Track. IEEE Transactions on Instrumentation and Measurement 72, pages 1-44.
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Nadanakumar Vinayagam, Christu Paul Ramaian, Joshuva Arockia Dhanraj, Jenoris Muthiya Solomon, Shridhar Anaimuthu & Nandakumar Selvaraju. A multilayer perceptron approach for condition monitoring of automobile suspension system through vibration signal. A multilayer perceptron approach for condition monitoring of automobile suspension system through vibration signal.
Fulong Liu, Wei Chen, Yutao Men, Xiaotao Zhang, Yuchao Sun, Jun Li & Guoan Yang. 2023. Proceedings of IncoME-VI and TEPEN 2021. Proceedings of IncoME-VI and TEPEN 2021 139 146 .
Yunguang Ye, Ping Huang & Yongxiang Zhang. (2021) Deep learning-based fault diagnostic network of high-speed train secondary suspension systems for immunity to track irregularities and wheel wear. Railway Engineering Science 30:1, pages 96-116.
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Wenbai Zhang, Lele Peng, Shubin Zheng, Xun Guo & Yuling Wang. (2020) Research on the Simulation of Wheelset Response Characteristic Identification of Railway Fastener Loosening. Mathematical Problems in Engineering 2020, pages 1-15.
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Fulong Liu, Jiongqi Wang, Miaoshuo Li, Fengshou Gu & Andrew D. Ball. 2020. Advances in Asset Management and Condition Monitoring. Advances in Asset Management and Condition Monitoring 115 134 .

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