Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Caozheng, Fu"'
Publikováno v:
Industrial Lubrication and Tribology, 2022, Vol. 74, Issue 10, pp. 1113-1120.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ILT-02-2022-0056
Publikováno v:
IEEE Access, Vol 7, Pp 178153-178166 (2019)
Existing research on wheel wear prediction uses either data-driven or model-based methods. However, due to the high reliability and limited sample characteristics of metro wheel wear, data-driven methods are not accurate enough and require relatively
Externí odkaz:
https://doaj.org/article/f3a87864c5b14a11bacb7a9e8b87375c
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 235:748-762
Out-of-roundness and tread wear are common types of damage to subway wheels, which greatly affect the dynamic performance of subway vehicles. In light of the coupling and asymmetry of out-of-roundness and tread wear found in real-world subway wheels,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::550f7c0b0a442cb0e62562f6a4e299a2
https://doi.org/10.1177/0954409720962245
https://doi.org/10.1177/0954409720962245
Publikováno v:
Industrial Lubrication and Tribology. 71:1038-1046
Purpose This study aims to investigate the effect of time-varying passenger flow on the wheel wear of metro vehicles to provide a more accurate model for predicting wheel wear and a new idea for reducing wheel wear. Design/methodology/approach Sectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::543c53bc5e3e685f64a477c0caa72bde
https://doi.org/10.1108/ilt-01-2019-0014
https://doi.org/10.1108/ilt-01-2019-0014