|Table of Contents|

[1] Liu Yang, Su Chun,. Availability-based maintenance optimizationunder unequal inspection period and imperfect repair [J]. Journal of Southeast University (English Edition), 2018, 34 (3): 303-308. [doi:10.3969/j.issn.1003-7985.2018.03.004]

Availability-based maintenance optimizationunder unequal inspection period and imperfect repair()

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

2018 3
Research Field:
Mechanical Engineering
Publishing date:


Availability-based maintenance optimizationunder unequal inspection period and imperfect repair
Liu Yang Su Chun
School of Mechanical Engineering, Southeast University, Nanjing 211189, China
age reduction inspection period unequal period maintenance maintenance optimization availability
Taking the multi-component system as research object, a maintenance optimization model based on the unequal inspection period and imperfect repair is established by considering the requirement of expected availability for improving the system’s availability. An age reduction factor is used to describe the effect of imperfect repair, and the modelling approach for the unequal inspection period is proposed. Unavailable situations are classified into three kinds of independent cases, and the availability is calculated accordingly. Based on the analysis of the relationship between the unavailable cases and the unequal inspection period, an optimization model under imperfect repair is established to optimize the system’s expected availability. A case study of a wind turbine is provided, and three key components, i.e. gearbox, generator and spindle, are considered. The optimization results of the unequal inspection period model and the equal inspection period model are compared. The results show that the unequal inspection period model based on availability can update the maintenance plan so as to optimize maintenance activities and improve the system’s availability.


[1] Zio E. Reliability engineering: Old problems and new challenges[J]. Reliability Engineering & System Safety, 2009, 94(2): 125-141. DOI:10.1016/j.ress.2008.06.002.
[2] Ding S H, Kamaruddin S. Maintenance policy optimization—literature review and directions[J]. The International Journal of Advanced Manufacturing Technology, 2015, 76(5): 1263-1283.DOI: 10.1007/s00170-014-6341-2.
[3] Garg A, Deshmukh S G. Maintenance management: Literature review and directions[J]. Journal of Quality in Maintenance Engineering, 2006, 12(3): 205-238.DOI: 10.1108/13552510610685075.
[4] Maciejewski H, Caban D. Estimation of repairable system availability within fixed time horizon[J]. Reliability Engineering & System Safety, 2008, 93(1): 100-106.DOI: 10.1016/j.ress.2006.10.016.
[5] Do P, Vu H C, Barros A, et al. Maintenance grouping for multi-component systems with availability constraints and limited maintenance teams[J]. Reliability Engineering & System Safety, 2015, 142: 56-67. DOI:10.1016/j.ress.2015.04.022.
[6] Kumar G, Jain V, Gandhi O P. Availability analysis of repairable mechanical systems using analytical semi-Markov approach[J]. Quality Engineering, 2013, 25(2): 97-107.DOI: 10.1080/08982112.2012.751606.
[7] Li Y F, Peng R. Availability modeling and optimization of dynamic multi-state series-parallel systems with random reconfiguration[J]. Reliability Engineering & System Safety, 2014, 127(4): 47-57.DOI:10.1016/j.ress.2014.03.005.
[8] Moura M D C, Droguett E L. A continuous-time semi-Markov Bayesian belief network model for availability measure estimation of fault tolerant systems[J]. Pesquisa Operacional, 2008, 28(2): 355-375.DOI:10.1590/S0101-74382008000200011.
[9] Khatab A, Aitkadi D, Rezg N. Availability optimisation for stochastic degrading systems under imperfect preventive maintenance[J]. International Journal of Production Research, 2014, 52(14): 4132-4141.DOI:10.1080/00207543.2013.835499.
[10] Wang L, Hu H, Wang Y, et al. The availability model and parameters estimation method for the delay time model with imperfect maintenance at inspection[J]. Applied Mathematical Modelling, 2011, 35(6): 2855-2863.DOI:10.1016/j.apm.2010.11.070.
[11] Lü X F, Guo X C, Kong Z, et al. Maintenance inspection interval of metro vehicle based on availability[J]. Journal of Southeast University(Natural Science Edition), 2011, 41(4): 877-881.DOI:10.3969/j.issn.1001-0505.2011.04.041. (in Chinese)
[12] Xie N, Li A P, Xue W, et al. Modeling and analysis of complex equipment availability based on stochastic petrinets[J]. Journal of Mechanical Engineering, 2012, 48(16): 167-174.DOI:10.3901/JME.2012.16.167. (in Chinese)
[13] Ali I, Raghav Y S, Bari A. Allocating repairable and replaceable components for a system availability using s elective maintenance: An integer solution[J]. Safety and Reliability, 2011, 31(2): 9-18. DOI:10.1080/09617353.2011.11690933.
[14] Qiu Q, Cui L, Gao H. Availability and maintenance modelling for systems subject to multiple failure modes[J]. Computers & Industrial Engineering, 2017, 108: 192-198.DOI: 10.1016/j.cie.2017.04.028.
[15] Tiwary A, Arya L D, Arya R, et al. Inspection-repair based availability optimization of distribution systems using teaching learning based optimization[J]. Journal of the Institution of Engineers: Series B, 2016, 97(3): 355-365.DOI:10.1007/s40031-015-0196-2.
[16] Andrawus J A, Watson J, Kishk M, et al. Optimisation of wind turbine inspection intervals[J]. Wind Engineering, 2008, 32(5): 477-490.DOI: 10.1260/030952408786411921.
[17] Su C, Hu Z. Reliability assessment for Chinese domestic wind turbines based on data mining techniques[J]. Wind Energy, 2018, 21(3):198-209. DOI: 10.1002/we.2155.


Biographies: Liu Yang(1993—), male, graduate; Su Chun(corresponding author), male, doctor, professor, suchun@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No. 71671035), Open Fund of Jiangsu Wind Power Engineering Technology Center, China(No. ZK15-03-01, ZK16-03-07).
Citation: Liu Yang, Su Chun.Availability-based maintenance optimization under unequal inspection period and imperfect repair[J].Journal of Southeast University(English Edition), 2018, 34(3):303-308.DOI:10.3969/j.issn.1003-7985.2018.03.004.
Last Update: 2018-09-20