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- Title
基于供气可靠性的天然气管道系统预防性维护 方案智能优化方法.
- Authors
范 霖; 苏 怀; 彭世亮; 张 丽; 张劲军
- Abstract
Maintenance management of devices is fundamental to ensure the supply reliability of natural gas pipeline system. A descriptive model integrating the state transition with the degeneration process of units was established. Then a method for calculating the maximum gas supply capacity of the pipeline system under scenarios of unit failure was developed. The maintenance strategy optimization model with a high supply reliability and a low maintenance cost was established, and a deep reinforcement learning-based method of maintenance optimization for the pipeline system was presented. The results show that compared with the scheduled maintenance, the proposed preventive maintenance strategy can improve the supply reliability and reduce the system maintenance costs. The average supply reliability increases from 99. 41% to 99. 54%, and the maintenance cost is reduced by 9. 38%.
- Subjects
NATURAL gas pipelines; NATURAL gas reserves; MAINTENANCE costs; PIPELINE maintenance &; repair; REINFORCEMENT learning; SUPPLY &; demand; PIPELINE failures
- Publication
Journal of China University of Petroleum, 2023, Vol 47, Issue 1, p134
- ISSN
1673-5005
- Publication type
Article
- DOI
10.3969/j.issn.1673-5005.2023.01.014