Open Access
| Issue |
E3S Web Conf.
Volume 520, 2024
4th International Conference on Environment Resources and Energy Engineering (ICEREE 2024)
|
|
|---|---|---|
| Article Number | 03011 | |
| Number of page(s) | 4 | |
| Section | New Progress in New Energy and Resource Utilization Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202452003011 | |
| Published online | 03 May 2024 | |
- Fan Haiyan. The importance of equipment anagement in enterprise production [J]. Etrochemical Technology, 29 (8) : 194–196(2022) [Google Scholar]
- Hu Yiwei. Equipment Management and Maintenance [M]. 2nd Edition, (2022), Chemical Industry Press [Google Scholar]
- Xiaoliang,, Li, Zhongjie,, Hang, Study on costeffectiveness nalysis of pumped storage generating nits during their whole life cycle, China equipment ngineering, 12, 292–296 (2022) [Google Scholar]
- Xiaolong,, Yang, Kaiming,, Li. Overview of quality anagement of mechanical and electrical equipment n Meizhou and Yangjiang pumped storage power tations, Mechanical&Electrical Technique of ydropower Station, 45(11)66–168(2022) [Google Scholar]
- National Energy Administration. Power generation quipment maintenance management mplementation guidelines DL/T2300-2021[S]. (2021) [Google Scholar]
- Lifeng, Wang, Chao, Ma, Power station equipment ondition monitoring based on big data background nd the fault maintenance management system imulation design, 46(10),176–179, (2022) [Google Scholar]
- J. M. Wakiru, L. Pintelon, P. N. Muchiri, et al., A eview on lubricant condition monitoring information nalysis for maintenance decision support, Echanical Systems and Signal Processing, 108(132) (2019) [Google Scholar]
- Tan Wei, Construction of the Condition Maintenance trategy Based on the Functional Structure of the ntelligent Power Station, 30(3), 79–82(2023) [Google Scholar]
- D. R. Insua, F. Ruggeri, R. S. C, et al., Advances in ayesian decision making in reliability, European ournal of Operational Research, 13(19) (2019) [Google Scholar]
- Shan, Y.H. Research on Vibration fault diagnosis and ealth performance trend prediction of hydropower nits [Ph. D. Dissertation]. HUST (Huazhong niversity of Science and Technology) (2021) [Google Scholar]
- Gao, Bo, Wu, Di, Yang, Zhihao, et al. Research on quipment condition maintenance technology of ower substation based on Big Data [J]. Icrocomputer Applications, 12 (8) : 15–17(2022) [Google Scholar]
- Pengfei, Wang. Research on fault diagnosis, state valuation and maintenance decision method of ulti-source information coupling for hydropower nits [Ph. D. Dissertation]. NAFU (Northwest griculture and Forestry University) (2023). [Google Scholar]
- D. R. Insua, F. Ruggeri, R. S. C, et al., Advances in ayesian decision making in reliability, European ournal of Operational Research, 13(19) (2019) [Google Scholar]
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