Reliability Evaluation of Compressor Systems Based on Universal Generating Function Method

doi:10.1007/s12204-018-1929-6

sa ›› 2018, Vol. 23 ›› Issue (2): 291-296.doi: 10.1007/s12204-018-1929-6

Reliability Evaluation of Compressor Systems Based on Universal Generating Function Method

WEN Kai (温凯), LI Yichen (李熠辰), YANG Yang (杨洋), GONG Jing (宫敬)

(Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum (Beijing), Beijing 102249, China)

出版日期:2018-04-01 发布日期:2018-06-19
通讯作者: GONG Jing (宫敬) E-mail:ydgj@cup.edu.cn

Reliability Evaluation of Compressor Systems Based on Universal Generating Function Method

WEN Kai (温凯), LI Yichen (李熠辰), YANG Yang (杨洋), GONG Jing (宫敬)

(Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum (Beijing), Beijing 102249, China)

Online:2018-04-01 Published:2018-06-19
Contact: GONG Jing (宫敬) E-mail:ydgj@cup.edu.cn

摘要/Abstract

摘要： At present, universal generating function (UGF) is a reliability evaluation technique which holds the bare-looking and easily program-realized merits in multi-state system. Thus, it is meaningful to apply this method to an actual industry system. Compressor systems in natural gas pipelines are series-parallel multi-state systems, where the compressor units in each compressor station work in a parallel way and these pressure-boosting stations in the pipeline are series connected. Considering the characteristic of gas pipelines, this paper develops two different UGFs to evaluate the system reliability. One (Model 1) establishes a system model from every compressor unit while the other (Model 2) considers the whole system as a combination of multi-state components. Besides, all the parameters of “weight” in UGFs are obtained from thermal-hydraulic models based on the actual engineering and “probability” from Monte Carlo simulation. The results show that the system reliabilities calculated by different UGFs are approximately equal. In addition, the demand of gas and the gas pipeline transportation system show a reverse trend. Because the number of parameters needed in Model 2 is far less than that needed in Model 1, Model 2 is simpler programming and faster solved.

关键词: universal generating function (UGF), Monte Carlo method, series-parallel multi-state systems

Abstract: At present, universal generating function (UGF) is a reliability evaluation technique which holds the bare-looking and easily program-realized merits in multi-state system. Thus, it is meaningful to apply this method to an actual industry system. Compressor systems in natural gas pipelines are series-parallel multi-state systems, where the compressor units in each compressor station work in a parallel way and these pressure-boosting stations in the pipeline are series connected. Considering the characteristic of gas pipelines, this paper develops two different UGFs to evaluate the system reliability. One (Model 1) establishes a system model from every compressor unit while the other (Model 2) considers the whole system as a combination of multi-state components. Besides, all the parameters of “weight” in UGFs are obtained from thermal-hydraulic models based on the actual engineering and “probability” from Monte Carlo simulation. The results show that the system reliabilities calculated by different UGFs are approximately equal. In addition, the demand of gas and the gas pipeline transportation system show a reverse trend. Because the number of parameters needed in Model 2 is far less than that needed in Model 1, Model 2 is simpler programming and faster solved.

Key words: universal generating function (UGF), Monte Carlo method, series-parallel multi-state systems

中图分类号:

TE 832

WEN Kai (温凯), LI Yichen (李熠辰), YANG Yang (杨洋), GONG Jing (宫敬). Reliability Evaluation of Compressor Systems Based on Universal Generating Function Method[J]. sa, 2018, 23(2): 291-296.

WEN Kai (温凯), LI Yichen (李熠辰), YANG Yang (杨洋), GONG Jing (宫敬). Reliability Evaluation of Compressor Systems Based on Universal Generating Function Method[J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(2): 291-296.

参考文献

[1] DOS SANTOS S P, BITTENCOURT M A S,VASCONCELLOS L D. Compressor station availability:Managing its effects on gas pipeline operation[C]//Proceedings of 6th International Pipeline Conference.Calgary: ASME, 2006: 855-863. [2] DOS SANTOS S P. Availability and risk analysis effectson gas pipeline tariff making [C]//Proceedingsof 7th International Pipeline Conference. Calgary:ASME, 2008: 311-319. [3] DOS SANTOS S P, LEAL J E, OLIVEIRA F. Thedevelopment of a natural gas transportation logisticsmanagement system [J]. Energy Policy, 2011, 39(9):4774-4784. [4] LI X J, LI Y X, ZHANG M X, et al. Study on standbyscheme of compressor units based on binomial distribution[J]. Chemical Industry and Engineering Progress,2015, 34(9): 3487-3494 (in Chinese). [5] GAO P, XIE L Y. Reliability analysis of multi-statesystems based on improved universal generating function[J]. Acta Aeronautica Et Astronautica Sinica,2010, 31(5): 934-93 (in Chinese). [6] MASSIM Y, ZEBLAH A, BENGUEDIAB M, et al.Reliability evaluation of electrical power systems includingmulti-state considerations [J]. Electrical Engineering,2006, 88(2): 109-116. [7] LISNIANSKI A, LEVITIN G, BEN-HAIM H, et al.Power system structure optimization subject to reliabilityconstraints [J]. Electric Power Systems Research,1996, 39(2): 145-152. [8] LI W, ZUO M J. Reliability evaluation of multi-stateweighted k-out-of-n systems [J]. Reliability Engineeringand System Safety, 2008, 93(1): 160-167. [9] NEGI S, SINGH S B. Reliability analysis of nonrepairablecomplex system with weighted subsystemsconnected in series [J]. Applied Mathematics and Computation,2015, 262: 79-89. [10] LI J S. Reliability analysis of natural gas compressors[D]. Chengdu: Southwest Petroleum Institute, Collegeof Petroleum Engineering, 2005 (in Chinese). [11] SU X, WEN Y M, YE W H, et al. Failure analysis onSebei-Ningxia-Lanzhou gas pipeline system [J]. NaturalGas and Oil, 2011, 29(1): 12-14 (in Chinese). [12] ZHANG P, LIU S M, SUN Y, et al. Influential factorsfor unit consumption in Sebei-Xi’ning-Lanzhougas transmission pipeline [J]. Oil and Gas Storage andTransportation, 2015, 34(10): 1080-1086 (in Chinese). [13] KURZ R, LUBOMIRSKY M, BRUN K. Gascompressor station economic optimization [J]. InternationalJournal of Rotating Machinery, 2012.https://doi.org/10.1155/2012/715017 (published online).

Reliability Evaluation of Compressor Systems Based on Universal Generating Function Method

Reliability Evaluation of Compressor Systems Based on Universal Generating Function Method

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 2

编辑推荐

Metrics

本文评价

[1]	CAO Junhai (曹军海), XING Biao (邢彪), DU Haidong (杜海东), SHEN Ying (申莹). Monte Carlo Based Analysis and Validation Method for Time for Single Vehicle Combat Preparation of Armored Vehicle[J]. sa, 2018, 23(2): 244-249.
[2]	XING Biao (邢彪), SONG Tailiang (宋太亮), CAO Junhai (曹军海),DONG Yuansheng (董原生), LI K. Research on Equipment Support Activity Process Simulation Based on Monte Carlo Method[J]. sa, 2018, 23(2): 250-255.