A Data-Driven Methodology for the Reliability Analysis of the Natural Gas Compressor Unit Considering Multiple Failure Modes

Weichao Yu, Xianbin Zheng, Weihe Huang, Qingwen Cai, Jie Guo, Jili Xu, Yang Liu, Jing Gong and Hong Yang
Additional contact information
Weichao Yu: China Petroleum Planning & Engineering Institute, Beijing 100083, China
Xianbin Zheng: PetroChina Natural Gas Marketing Company, Beijing 100101, China
Weihe Huang: China National Petroleum Corporation/PetroChina Company Limited, Beijing 100007, China
Qingwen Cai: China Petroleum Planning & Engineering Institute, Beijing 100083, China
Jie Guo: China Petroleum Planning & Engineering Institute, Beijing 100083, China
Jili Xu: China Petroleum Planning & Engineering Institute, Beijing 100083, China
Yang Liu: East Branch, Natural Gas Marketing Company, China National Petroleum Corporation, Shanghai 200120, China
Jing Gong: National Engineering Laboratory for Pipeline Safety/MOE Key Laboratory of Petroleum Engineering/Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum Beijing, Beijing 102249, China
Hong Yang: National Engineering Laboratory for Pipeline Safety/MOE Key Laboratory of Petroleum Engineering/Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum Beijing, Beijing 102249, China

Energies, 2022, vol. 15, issue 10, 1-18

Abstract: In this study, a data-driven methodology for the reliability analysis of natural gas compressor units is developed, and both the historical failure data and performance data are employed. In this methodology, firstly, the reliability functions of the catastrophic failure and degradation failure are built. For catastrophic failure, the historical failure data are collected, and the rank regression model is utilized to obtain the reliability function of the catastrophic failure. For degradation failure, a support-vector machine is employed to predict the unit’s performance parameters, and the reliability function of the degradation failure is determined by comparing the performance parameters with the failure threshold. Finally, the reliability of the compressor unit is assessed and predicted by integrating the reliability functions of the catastrophic failure and the degradation failure, and both their correlation and competitiveness are considered. Furthermore, the developed methodology is applied to an actual compressor unit to confirm its feasibility, and the reliability of the compressor unit is predicted. The assessment results indicate the significant impact of the operating conditions on the precise forecasting of the performance parameters. Moreover, the effects of the value of the failure threshold and the correlation of the two failure modes on the reliability are investigated.

Keywords: reliability analysis; data-driven methodology; natural gas compressor unit; catastrophic failure; degradation failure (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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