| 本文已被：浏览次 下载次 |
码上扫一扫！ |
|
|
|
| Supply-reliability based method of intellectual optimization on preventive maintenance strategy for natural gas pipeline system |
|
FAN Lin1,2, SU Huai1,2, PENG Shiliang1,2, ZHANG Li1,2, ZHANG Jinjun1,2
|
|
(1.National Engineering Laboratory for Pipeline Safety in China University of Petroleum (Beijing), Beijing 102249, China;2.Key Laboratory of Beijing City for Urban Oil and Gas Transmission and Distribution Technology in China University of Petroleum (Beijing), Beijing 102249, China)
|
| 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%. |
| Key words: natural gas pipeline gas supply reliability preventive maintenance deep reinforcement learning |
|
|