Open Access
Issue |
E3S Web Conf.
Volume 528, 2024
2024 3rd International Symposium on New Energy Technology Innovation and Low Carbon Development (NET-LC 2024)
|
|
---|---|---|
Article Number | 02019 | |
Number of page(s) | 4 | |
Section | Smart Grid and Hydropower Resources Development | |
DOI | https://doi.org/10.1051/e3sconf/202452802019 | |
Published online | 28 May 2024 |
- Liang Yufang, Chen Yongfeng. Application of field maintenance technology in fault diagnosis of coal mine machinery hydraulic system [J]. Coal Mine Machinery, 2010, 31(09):236–238. [Google Scholar]
- Ma Xianmin, Liang Lan, Zhang Yongqiang, Xie Leping. Research on D-S data fusion fault diagnosis of coal mine large electromechanical equipment based on GA-BP[J]. Coal Technology, 2016, 35(01):218–221. [Google Scholar]
- Wang Fei. Research on the failure of the hydraulic system of coal mining machinery[J]. Science and Technology and Innovation, 2020(14): 134–135. [Google Scholar]
- Zhuraev Akbar Shavkatovich. Characteristics of packing gland seals in hydraulic systems of quarry excavators and results of comparative analysis of experimental tests, Journal | [J] Vibroengineering Procedia. Volume 54, Issue 2024. PP 252–257. [Google Scholar]
- Park Chul Hong; Park Cheol Soo. Limitations and issues of conventional artificial neural network-based surrogate models for building energy retrofit, Journal | [J] Journal of Building Performance Simulation. Volume 17, Issue 3. 2024. PP 361–370. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.