Open Access
Issue |
E3S Web Conf.
Volume 385, 2023
2023 8th International Symposium on Energy Science and Chemical Engineering (ISESCE 2023)
|
|
---|---|---|
Article Number | 03002 | |
Number of page(s) | 5 | |
Section | Thermochemical Engineering and Waste Treatment | |
DOI | https://doi.org/10.1051/e3sconf/202338503002 | |
Published online | 04 May 2023 |
- Meng Xiaofeng, Kind. Big Data Management: Concepts, Technologies and Challenges [J]. Computer Research and Development, 2013, 50 (1): 146–169. [Google Scholar]
- Cai Li, Zhu Yangyong. Big data quality [M]. Shanghai Science and Technology Press, 2018. [Google Scholar]
- Zhou Dong. Successful guarantee of data quality application system [J]. China Information, 2006(12): 39–40. [Google Scholar]
- National Energy Board. Power System Plant and Main Equipment Naming Specification DL / T 1624-2016 [Z]. China Electric Power Press, 2016. [Google Scholar]
- Inner Mongolia Electric Power (Group) Co., Ltd. Production management information system transmission and transformation equipment account information entry specification Q / ND10501 022016 [Z]. Hohhot, 2016. [Google Scholar]
- Inner Mongolia Electric Power (Group) Co., Ltd. State maintenance substation primary equipment classification and parameter specification Q / ND10503 01-2016 [Z]. Hohhot, 2016. [Google Scholar]
- Inner Mongolia Electric Power (Group) Co., Ltd. Transmission and transformation equipment condition maintenance guidelines Q / ND 10503 03-01-20-2016 [Z]. Hohhot, 2016. [Google Scholar]
- Inner Mongolia Electric Power (Group) Co., Ltd. Test Procedure for Condition-based Maintenance of Power Transmission and Transformation Equipment Q / ND 10501 06-2018. China Electric Power Publishing House, 2018. [Google Scholar]
- Inner Mongolia Electric Power (Group) Co., Ltd. Substation equipment defect management standard Q / ND 20502 04-2016 [Z]. Hohhot, 2016. [Google Scholar]
- Inner Mongolia Electric Power (Group) Co., Ltd. Management measures for familial defects of power grid equipment Q / ND 20502 0401-2016 [Z]. Hohhot, 2016. [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.