CLC number: TU607; TH17
On-line Access: 2019-04-02
Received: 2018-10-14
Revision Accepted: 2019-03-14
Crosschecked: 2019-03-17
Cited: 0
Clicked: 5664
Xiao-sheng Zhang, Jian-qiao Chen, Jun-hong Wei. Condition-based scheduled maintenance optimization of structures based on reliability requirements under continuous degradation and random shocks[J]. Journal of Zhejiang University Science A, 2019, 20(4): 272-289.
@article{title="Condition-based scheduled maintenance optimization of structures based on reliability requirements under continuous degradation and random shocks",
author="Xiao-sheng Zhang, Jian-qiao Chen, Jun-hong Wei",
journal="Journal of Zhejiang University Science A",
volume="20",
number="4",
pages="272-289",
year="2019",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1800578"
}
%0 Journal Article
%T Condition-based scheduled maintenance optimization of structures based on reliability requirements under continuous degradation and random shocks
%A Xiao-sheng Zhang
%A Jian-qiao Chen
%A Jun-hong Wei
%J Journal of Zhejiang University SCIENCE A
%V 20
%N 4
%P 272-289
%@ 1673-565X
%D 2019
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1800578
TY - JOUR
T1 - Condition-based scheduled maintenance optimization of structures based on reliability requirements under continuous degradation and random shocks
A1 - Xiao-sheng Zhang
A1 - Jian-qiao Chen
A1 - Jun-hong Wei
J0 - Journal of Zhejiang University Science A
VL - 20
IS - 4
SP - 272
EP - 289
%@ 1673-565X
Y1 - 2019
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1800578
Abstract: In this paper, a condition-based scheduled maintenance model with aperiodic inspections of structures is developed. The structures are experiencing both a gradual degradation process and a random shock process. The former is characterized by a stationary gamma process (SGP), and the latter is assumed to be a homogeneous Poisson process (HPP). Two typical common failure modes are considered in the reliability and the condition-based maintenance model, namely: (1) soft failures caused by the continuous degradation process, together with sudden damage increments due to shocks with moderate impacts, and (2) hard failures caused by the same shock process when a severe shock occurs. A remaining useful lifetime-based (RUL-based) inspection policy is utilized to determine the inspection schedule. Thereafter, at each inspection point, different maintenance actions are to be determined to minimize the average cost rate for either an infinite or a finite time span. The developed models are demonstrated by a numerical example. Sensitivity analyses of the optimal solution with various model parameters are also performed. It is illustrated that, as compared with the pure continuous degradation process, the additional shock loads exert notable impacts on the optimal maintenance strategies.
This paper combines a reliability model and a condition-based maintenance model considering both the degradation process and the shock effect to optimize the maintenance cost. Remaining useful lifetime is implemented to determine the inspection time and the optimization process is carried out for a system over an infinite and finite time span. This paper shows a good quality.
[1]Ahmad R, Kamaruddin S, 2012. An overview of time-based and condition-based maintenance in industrial application. Computers & Industrial Engineering, 63(1):135-149.
[2]An ZW, Sun DM, 2017. Reliability modeling for systems subject to multiple dependent competing failure processes with shock loads above a certain level. Reliability Engineering & System Safety, 157:129-138.
[3]Castro IT, 2009. A model of imperfect preventive maintenance with dependent failure modes. European Journal of Operational Research, 196(1):217-224.
[4]Chen JQ, Zhang XS, Jing Z, 2018. A cooperative PSO-DP approach for the maintenance planning and RBDO of deteriorating structures. Structural and Multidisciplinary Optimization, 58(1):95-113.
[5]Coria VH, Maximov S, Rivas-Dávalos F, et al., 2015. Analytical method for optimization of maintenance policy based on available system failure data. Reliability Engineering & System Safety, 135:55-63.
[6]de Fátima Araújo T, Uturbey W, 2013. Performance assessment of PSO, DE and hybrid PSO–DE algorithms when applied to the dispatch of generation and demand. Electrical Power and Energy Systems, 47:205-217.
[7]Do P, Voisin A, Levrat E, et al., 2015. A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions. Reliability Engineering & System Safety, 133:22-32.
[8]Do Van P, Bérenguer C, 2012. Condition-based maintenance with imperfect preventive repairs for a deteriorating production system. Quality and Reliability Engineering International, 28(6):624-633.
[9]Doksum KA, Hóyland A, 1992. Models for variable-stress accelerated life testing experiments based on Wiener processes and the inverse Gaussian distribution. Technometrics, 34(1):74-82.
[10]Doyen L, Gaudoin O, 2004. Classes of imperfect repair models based on reduction of failure intensity or virtual age. Reliability Engineering & System Safety, 84(1):45-56.
[11]El-Ferik S, Ben-Daya M, 2006. Age-based hybrid model for imperfect preventive maintenance. IIE Transactions, 38(4):365-375.
[12]Esary JD, Marshall AW, Proschan F, 1973. Shock models and wear processes. The Annals of Probability, 1(4):627-649.
[13]Ge R, Chen JQ, Wei JH, 2008. Reliability-based design of composites under the mixed uncertainties and the optimization algorithm. Acta Mechanica Solida Sinica, 21(1):19-27.
[14]Guo CM, Wang WB, Guo B, et al., 2013. Maintenance optimization for systems with dependent competing risks using a copula function. Eksploatacja I Niezawodnosc-Maintenance and Reliability, 15(1):9-17.
[15]Huang XX, Chen JQ, 2015. Time-dependent reliability model of deteriorating structures based on stochastic processes and Bayesian inference methods. Journal of Engineering Mechanics, 141(3):04014123.
[16]Huynh KT, Castro IT, Barros A, et al., 2012. Modeling age-based maintenance strategies with minimal repairs for systems subject to competing failure modes due to degradation and shocks. European Journal of Operational Research, 218(1):140-151.
[17]Jiang L, Feng QM, Coit DW, 2015. Modeling zoned shock effects on stochastic degradation in dependent failure processes. IIE Transactions, 47(5):460-470.
[18]Li WJ, Pham H, 2005. An inspection-maintenance model for systems with multiple competing processes. IEEE Transactions on Reliability, 54(2):318-327.
[19]Lin DM, Zuo MJ, Yam RCM, 2001. Sequential imperfect preventive maintenance models with two categories of failure modes. Naval Research Logistics, 48(2):172-183.
[20]Nakagawa T, 1988. Sequential imperfect preventive maintenance policies. IEEE Transactions on Reliability, 37(3):295-298.
[21]Nickabadi A, Ebadzadeh MM, Safabakhsh R, 2011. A novel particle swarm optimization algorithm with adaptive inertia weight. Applied Soft Computing, 11(4):3658-3670.
[22]Peng H, Feng QM, Coit DW, 2010. Reliability and maintenance modeling for systems subject to multiple dependent competing failure processes. IIE Transactions, 43(1):12-22.
[23]Ponchet A, Fouladirad M, Grall A, 2011. Maintenance policy on a finite time span for a gradually deteriorating system with imperfect improvements. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 225(2):105-116.
[24]Rafiee K, Feng QM, Coit DW, 2014. Reliability modeling for dependent competing failure processes with changing degradation rate. IIE Transactions, 46(5):483-496.
[25]Ross SM, 1996. Stochastic Processes. Wiley Series in Probability and Statistics. John Wiley & Sons, Inc., New York, USA.
[26]Saydam D, Frangopol DM, 2015. Risk-based maintenance optimization of deteriorating bridges. Journal of Structural Engineering, 141(4):04014120.
[27]Si XS, Wang WB, Hu CH, et al., 2011. Remaining useful life estimation–a review on the statistical data driven approaches. European Journal of Operational Research, 213(1):1-14.
[28]Tan L, Cheng ZJ, Guo B, et al., 2010. Condition-based maintenance policy for gamma deteriorating systems. Journal of Systems Engineering and Electronics, 21(1):57-61.
[29]van Noortwijk JM, 2009. A survey of the application of gamma processes in maintenance. Reliability Engineering & System Safety, 94(1):2-21.
[30]van Noortwijk JM, van der Weide JAM, Kallen MJ, et al., 2007. Gamma processes and peaks-over-threshold distributions for time-dependent reliability. Reliability Engineering & System Safety, 92(12):1651-1658.
[31]Wang GJ, Zhang YL, 2005. A shock model with two-type failures and optimal replacement policy. International Journal of Systems Science, 36(4):209-214.
[32]Wang YP, Pham H, 2011. Imperfect preventive maintenance policies for two-process cumulative damage model of degradation and random shocks. International Journal of System Assurance Engineering and Management, 2(1):66-77.
[33]Wu SM, Zuo MJ, 2010. Linear and nonlinear preventive maintenance models. IEEE Transactions on Reliability, 59(1):242-249.
[34]Zequeira RI, Bérenguer C, 2006. Periodic imperfect preventive maintenance with two categories of competing failure modes. Reliability Engineering & System Safety, 91(4):460-468.
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