Application of statistical process control technology in operation optimization of thermal power units. (June 2020)
- Record Type:
- Journal Article
- Title:
- Application of statistical process control technology in operation optimization of thermal power units. (June 2020)
- Main Title:
- Application of statistical process control technology in operation optimization of thermal power units
- Authors:
- Tian, Penglu
Yuan, Jun
Zhang, Shaonan
Li, Zhichao
Wei, Qingbo - Abstract:
- Abstract: The reliability of power plant data becomes more and more important with the development of smart power plant based on big data and artificial intelligence technology. Statistical process control technology is widely used in product production process management, but it has never been involved in thermal power. In this paper, the statistical process control technology is applied to the thermal power industry. The application results show that the statistical process control technology can not only take the calculation results as the quantitative criteria for the operation conditions of the unit, but also help to select the comprehensive optimal conditions of the unit under the specific conditions, and implement the goal of improving the management level and economic benefits of the power plant.
- Is Part Of:
- Journal of physics. Volume 1549:Number 5(2020)
- Journal:
- Journal of physics
- Issue:
- Volume 1549:Number 5(2020)
- Issue Display:
- Volume 1549, Issue 5 (2020)
- Year:
- 2020
- Volume:
- 1549
- Issue:
- 5
- Issue Sort Value:
- 2020-1549-0005-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-06
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1549/5/052045 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25305.xml