[1].Incomplete preventive maintenance model for the submarine pipeline with pitting corrosion[J].油气储运,2020,39(01):113-120.
 CHEN Xin,YU Jianxing,GUO Shuai,et al.Incomplete preventive maintenance model for the submarine pipeline with pitting corrosion[J].Oil & Gas Storage and Transportation,2020,39(01):113-120.

Incomplete preventive maintenance model for the submarine pipeline with pitting corrosion


[1] ZHU X D, NIU G F, LUO Z W, et al. Estimationon the economic life of long-distance oil and gas pipelines[J]. Oil & Gas Storage and Transportation, 2012, 31(2): 143-146.
[2] YU J X, CHEN Y J, CHEN F Y, et al. Research on dynamic reliability of in-service jacket platform[J]. Ship Engineering, 2015, 37(8): 98-102.
[3] PENG Z, PENG Y. Failure probability of corroded pipeline considering random variables correlation[J]. Acta Petrolei Sinica, 2016, 37(10): 1293-1301.
[4] LIN D, CHANG G Z. Establishment of pipeline corrosion failure probability model based on limit state equation[J]. Welded Pipe and Tube, 2015, 38(9): 12-16.
[5] LEE O S, PYUN J S. Failure probability of corrosion pipeline with varying boundary condition[J]. KSME International Journal, 2002, 16(7): 889-895.
[6] SHEU S H, CHANG C C. An extended periodic imperfect preventive maintenance model with age-dependent failure type[J]. IEEE Transactions on Reliability, 2009, 58(2): 397-405.
[7] HE K, MAILLART L M, PROKOPYEV O A. Scheduling preventive maintenance as a function of an imperfect inspection interval[J]. IEEE Transactions on Reliability, 2015, 64(3): 1-15.
[8] SONG C L, FANG Y, CHEN Q G, et al. Analysis on failure cause of oil gathering pipeline[J]. Petroleum Tubular Goods & Instruments, 2019, 5(4): 74-77.
[9] WU Z. Prediction of remaining life of oil pipeline in service[J]. Jiangxi Chemical Industry, 2019, 141(1): 98-101.
[10] YU J X, LI X B, TAN Y N, et al. Analysis of the stress intensity factor of a pipeline surface with a pit-crack[J]. Journal of Tianjin University (Science and Technology), 2019, 52(5): 522-528.
[11] ZHE N, YANG J F, LIU W B, et al. Prediction of corrosion rate of process pipeline based on KPCA and SVM[J]. Corrosion & Protection, 2019, 40(1): 56-60.
[12] HAN W H, ZHOU J. Reliability analysis of corroded subsea pipeline[J]. Acta Petrolei Sinica, 2015, 36(4): 516-520.
[13] JU C K, HUANG G, QIAO G M, et al. Study on quantitative measurement of corrosion and failure probability of seafloor pipelines[J]. Logistics Technology, 2014, 33(7): 146-149.
[14] LI X H, CHEN G M, ZHU H W. Research on risk-based earlywarning method for corrosion failure of subsea oil & gas pipelines[J]. China Safety Science Journal, 2017, 27(7): 163-168.
[15] XU L X, ZHAO Z H, YU Y, et al. Condition-based maintenance and optimizing strategy with imperfect repair for deep-water pipeline[J]. Journal of Tianjin University (Science and Technology), 2016, 49(9): 902-906.
[16] FU Y, MA Y, LIU L J, et al. Phasic preventive maintenance strategy of offshore wind turbines[J]. Electric Power Construction, 2017, 38(6): 124-132.
[17] LI Y. Maintenance cycle decision of key metal parts of high-speed EMU based on importance[D]. Beijing: Beijing Jiaotong University, 2018: 47-61.
[18] AN D S. Research on interval optimization method for imperfect preventive maintenance task[D]. Tianjin: Civil Aviation University of China, 2018: 27-61.
[19] LU Z, GUO Q S, XU J. The decision of optimal economic production lot based on periodic imperfect preventive maintenance[J]. Systems Engineering—Theory & Practice, 2017, 37(10): 2621-2629.
[20] WANG Q, CHENG Z H, BAI Y S, et al. Research on two-dimensional product maintenance decision model under preventive maintenance time constraints[J]. Command Control & Simulation, 2019, 41(4): 27-31.
[21] WANG L H, YUE D Q. Availability analysis of a multi-state degraded system with minimal repairs and the imperfect preventive maintenance[J]. Mathematics in Practice and Theory, 2018, 48(16): 222-226.
[22] ZHANG MY, LI M. Preventive maintenance model with flexible cycle based on modulation factor[J]. Journal of Lanzhou University of Technology, 2014, 40(6): 148-151.
[23] WEI T F, WANG Y, FENG Y G. Transportation pressure-based forecast for the failure probability of corroded pipeline[J]. Oil & Gas Storage and Transportation, 2008, 27(6): 44-47.
[24] ZHANG F Y. Submarine pipeline quantitative risk assessment (QRA) and its application in integrity management[D]. Harbin: Harbin Engineering University, 2010: 45-65.
[25] ZHANG G L, ZHAO X W, LUO J H, et al. Research on probabilistic assessment method for corroded based on different assessment criteria[J]. China Safety Science Journal, 2012, 22(9): 57-62.
[26] SHUAI J, XU K. Assessment method for failure probability of corroded pipeline[J]. Acta Petrolei Sinica, 2003, 24(4): 86-89.
[27] XIANG Y, LIU Y. EIFS-based crack growth fatigue life prediction of pitting-corroded test specimens[J]. Engineering Fracture Mechanics, 2010, 77(8): 1314-1324.
[28] YU J X, GUO S, YU Y, et al. Effects of crack parameters on fatigue life of subsea pipelines[J]. Journal of Tianjin University(Science and Technology), 2016, 49(9): 889-895.
[29] DENG A P, HU Z J, HU M Y, et al. Power system reliability evaluation considering deterioration and imperfect maintenance of equipment[J]. Power System Protection and Control, 2017, 45(3): 69-74.
[30] LIE C H, CHUN Y C. An algorithm for preventive maintenance policy[J]. IEEE Transactions onReliability, 1986, 35(1): 71-75.


Received date: 08 Jan. 2018; Revised date: 23 Otc. 2019 *Corresponding author. E-mail: yjx2000@tju.edu.cn Foundation item: Supported by the National Key Basic Research Program of China (2014CB046804); the National Natural Science Foundation of China (51239008) https://doi.org/10.6047/j.issn.1000-8241.2019.01.017 Copyright ? 2019, Journal of Oil & Gas Storage and Transportation Agency.

更新日期/Last Update: 2019-11-25