Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Chenyong Wang"'
Autor:
Shaoxuan Zhang, Zuo Zhang, Chenzhao Bai, Shukui Hu, Jizhe Wang, Chenyong Wang, Hongpeng Zhang
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1704 (2024)
Friction in marine engineering machinery produces abrasive particles containing valuable information. By employing oil detection technology, we can analyze these particles to monitor and diagnose mechanical system faults. This paper introduces an ind
Externí odkaz:
https://doaj.org/article/76ac16ef27a94f88892a9340dbadb7b7
Autor:
Xinran Wang, Chenyong Wang, Hanlin Liu, Cunyou Zhang, Zhenqiang Fu, Lin Ding, Chenzhao Bai, Hongpeng Zhang, Yi Wei
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 12, p 2384 (2023)
In deep learning-based fault diagnosis of the wind turbine gearbox, a commonly faced challenge is the domain shift caused by differing operational conditions. Traditional domain adaptation methods aim to learn transferable features from the source do
Externí odkaz:
https://doaj.org/article/e8f7c9013a174c4da1450f9d3232da39
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 10, p 1938 (2023)
In order to realize the lubricant fluid condition monitoring of ships and offshore engineering equipment, a multi-channel, dual-mode oil multi-pollution detection sensor is proposed and fabricated. The sensor has three detection channels connected vi
Externí odkaz:
https://doaj.org/article/40a8c00866044bababe240fe4e85bd92
Autor:
Chenyong Wang, Chao Yang, Hongpeng Zhang, Shengzhao Wang, Zhaoxu Yang, Jingguo Fu, Yuqing Sun
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 11, p 1789 (2022)
Particulate pollutants mixed in hydraulic oil will lead to the failure of the marine hydraulic system. Nowadays, the current identification methods of particulate pollutants in oil make it challenging to obtain the specific parameters of pollutants.
Externí odkaz:
https://doaj.org/article/ae7d0706a4eb47b7962e8ef846a639f4
Autor:
Hongpeng Zhang, Haotian Shi, Wei Li, Laihao Ma, Xupeng Zhao, Zhiwei Xu, Chenyong Wang, Yucai Xie, Yuwei Zhang
Publikováno v:
Micromachines, Vol 12, Iss 2, p 150 (2021)
Hydraulic oil is the key medium for the normal operation of hydraulic machinery, which carries various wear debris. The information reflected by the wear debris can be used to predict the early failure of equipment and achieve predictive maintenance.
Externí odkaz:
https://doaj.org/article/93aaa962b7ee4bf4882de713fcecd943
Autor:
Chenyong Wang, Yiwen Zheng, Hongpeng Zhang, Wei Li, Shuyao Zhang, Jiaju Hong, Guobin Li, Yuqing Sun
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::559f92047e3148fdca4b2dacaf02010a
https://doi.org/10.1109/tim.2022.3181293
https://doi.org/10.1109/tim.2022.3181293
Publikováno v:
Soft Matter. 18:5249-5260
Over the recent years, intelligent, multi-responsive micelles have received considerable attention due to their promising application in a variety of fields, including biomedical technology, drug delivery, separation, and catalysis. However, the desi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::523ea9b7eb03fa84cc48b00c6632a0af
https://doi.org/10.1039/d2sm00509c
https://doi.org/10.1039/d2sm00509c
Research on the characteristics of micro planar capacitance sensor for multi wear particle detection
Autor:
Chenyong Wang, Shengzhao Wang, Hongpeng Zhang, Chao Yang, Zhaoxu Yang, Di Wu, Liting Luo, Wei Li, Henan Sun, Shuyao Zhang, Yuqing Sun, Guobin Li, Haiquan Chen
Publikováno v:
Measurement. 213:112755
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a44c4268b471afe8ec4d863a74778d15
https://doi.org/10.1016/j.measurement.2023.112755
https://doi.org/10.1016/j.measurement.2023.112755
Publikováno v:
Soft Matter. 17:9210-9220
Controlling the viscoelastic characteristics of wormlike micelles is of great significance to both basic theory and practical applications. In this article, a novel multi-stimuli responsive wormlike micellar solution was prepared by mixing cationic s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ec8edc8e341f8a3293339d5a91059a4
https://doi.org/10.1039/d1sm00884f
https://doi.org/10.1039/d1sm00884f
Publikováno v:
Asia-Pacific Journal of Chemical Engineering. 17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a754238ad20a14e78c352333990e27c
https://doi.org/10.1002/apj.2781
https://doi.org/10.1002/apj.2781