Paper
1 April 2024 Optimizing maintenance strategies for reciprocating compressors using reliability-centered maintenance and on-line fault diagnosis system
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Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130823C (2024) https://doi.org/10.1117/12.3026849
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China
Abstract
Reciprocating compressors are important equipment for oil companies, which undertake the task of transporting BOG gas. With the use of China's reciprocating compressor online fault diagnosis system, the efficiency and economy of the maintenance and management of reciprocating compressor equipment can be further improved. RCM theory is a widely used theory in the international preventive maintenance decision-making, this paper introduces RCM theory into the maintenance decision of reciprocating compressor, combines the failure frequency, safety consequences, maintenance consequences and other factors, improves the content of FMECA analysis, and determines the risk of each equipment and failure of reciprocating compressor. Finally, combined with the fault diagnosis system installed by the enterprise, a new maintenance logic decision-making scheme and process are proposed.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yuliang Luo, Zhijun Lv, Huailei Zheng, Haitao Pan, Yue Zhou, Hongbo Liu, and Baisong Li "Optimizing maintenance strategies for reciprocating compressors using reliability-centered maintenance and on-line fault diagnosis system", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130823C (1 April 2024); https://doi.org/10.1117/12.3026849
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KEYWORDS
Failure analysis

Analytical research

Decision making

Reliability

Safety

Instrument modeling

Mathematical optimization

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