Quasi-periodic Inspection and Preventive Maintenance Policy Optimisation for a system with Wiener Process degradation

• Autorzy: Gao Wenke , Wang Yu , Zhang Xiwen , Wang Zhuangzhuang

Identyfikatory

DOI

10.17531/ein/162433

• Języki publikacji: EN

Abstrakty

EN

Periodic inspection policy is performed for some degradation systems to check their degradation states, whereas it is usually difficult to implement on time due to impact of some random factors. Inspections and some maintenance actions are implemented in an inspection window with random, and thus how to optimize the inspection windows and the degradation threshold of the system to perform preventive maintenance (PM) are beneficial in practice. To this end, an optimisation of quasi-periodic inspection and PM policy with inspection window is proposed for a degradation system whose degradation followed Wiener process with a linear drift. Assume that PM can change the degradation rate and inspections are randomly performed in each inspection window. After optimisation, the optimal interval of the inspection window, the degradation threshold of PM and PM policy are determined by minimising the long-term running cost rate of the system. Finally, modeling and optimisation are illustrated using the degradation process of an axial piston pump, and the sensitivity analysis of some key parameters is conducted.

Słowa kluczowe

EN

preventive maintenance; Wiener process; quasi-periodic inspection policy; axial piston pump

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2023
• Tom: Vol. 25, no. 2
• Strony: art. no. 162433
• Opis fizyczny: Bibliogr. 40 poz., tab., wykr.

Twórcy

autor

Gao Wenke

• SINO-German college of intelligent manufacturing, Shenzhen technology university, Shenzhen, China, 518118

• https://orcid.org/0000-0003-3590-1995

autor

Wang Yu

• SANY Heavy Machinery Limited.Kunshan, China

autor

Zhang Xiwen

• School of energy and power engineering, Lanzhou university of technology, Lanzhou, China

autor

Wang Zhuangzhuang

• School of energy and power engineering, Lanzhou university of technology, Lanzhou, China

Bibliografia

• 1. Babishin, V., Y. Hajipour, and S. Taghipour, Optimisation of Non-Periodic Inspection and Maintenance for Multicomponent Systems. Eksploatacja i Niezawodność- Maintenance and Reliability, 2018. 20(2): 327-342. https://doi.org/10.17531/ein.2018.2.20
• 2. Cao, X., et al., A preventive maintenance model subject to sequential inspection for a three-stage failure process. International Journal of Performability Engineering, 2019. 15(1). https://doi.org/10.23940/ijpe.19.01.p8.7687
• 3. Castro, I.T. and L. Landesa, A dependent complex degrading system with non-periodic inspection times. Computers & Industrial Engineering, 2019. 133: 241-252. https://doi.org/10.1016/j.cie.2019.04.053
• 4. Cavalcante, C.A., P.A. Scarf, and M. Berrade, Imperfect inspection of a system with unrevealed failure and an unrevealed defective state. IEEE Transactions on Reliability, 2019. 68(2): 764-775. https://doi.org/10.1109/TR.2019.2897048
• 5. de Jonge, B. and P.A. Scarf, A review on maintenance optimization. European Journal of Operational Research, 2019.
• 6. Dinh, D.-H., P. Do, and B. Iung, Degradation modeling and reliability assessment for a multi-component system with structural dependence. Computers & Industrial Engineering, 2020. 144: 106443. https://doi.org/10.1016/j.cie.2020.106443
• 7. Driessen, J., H. Peng, and G. Van Houtum, Maintenance optimization under non-constant probabilities of imperfect inspections. Reliability Engineering & System Safety, 2017. 165: 115-123. https://doi.org/10.1016/j.ress.2017.03.020
• 8. Duan, F.J., G.J. Wang, and W.M. Wei, Remaining Useful Life Estimation Based on Wiener Degradation Process With Mixed Random Effects, in Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling. 2020. 1-6. https://doi.org/10.1109/APARM49247.2020.9209431
• 9. Gao, W., Optimal sequential preventive maintenance policy for a repairable system with maintenance windows. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2019. 234(4): 963-977. https://doi.org/10.1177/0954406219886341
• 10. J, L., et al., Accelerated degradation analysis based on a random-effect Wiener process with one-order autoregressive errors. Eksploatacja i Niezawodnosc-Maintenance and Reliability, 2019. 21(2): 246–255. https://doi.org/10.17531/ein.2019.2.8
• 11. Jin, L., N. Koyama, and W. Yamamoto, Optimal policy for periodic inspections with flexible imperfect inspection frequencies. Total Quality Science, 2019. 4(3): 128-137. https://doi.org/10.17929/tqs.4.128
• 12. Kaio, N., T. Dohi, and S. Osaki, Inspection policy with failure due to inspection. Microelectronics Reliability, 1994. 34(4): 599-602. https://doi.org/10.1016/0026-2714(94)90025-6
• 13. Levitin, G., L. Xing, and H.-Z. Huang, Cost effective scheduling of imperfect inspections in systems with hidden failures and rescue possibility. Applied Mathematical Modelling, 2019. 68: 662-674. https://doi.org/10.1016/j.apm.2018.12.001
• 14. Lipton, A. and V. Kaushansky, On the first hitting time density for a reducible diffusion process. Quantitative Finance, 2020. 20(5): 723-743. https://doi.org/10.1080/14697688.2020.1713394
• 15. Long, Q. and C. Wu, A hybrid method combining genetic algorithm and Hooke-Jeeves method for constrained global optimization. Journal of Industrial and Management Optimization, 2014. 10(4): 1279-1296.
• 16. MF, M. and C.l.n. CAV, Random preventive maintenance policy based on inspection for a multicomponent system using simulation. Eksploatacja i Niezawodnosc-Maintenance and Reliability 2017. 19(4): 552–559. https://doi.org/10.17531/ein.2017.4.8
• 17. Moakedi, H., M.S. Seyedhosseini, and K. Shahanaghi, A block-based inspection policy for a multi-component system subject to two failure modes with stochastic dependence. Journal of Quality in Maintenance Engineering, 2019. 25(2): 314-339. https://doi.org/10.1108/JQME-05-2018-0044
• 18. Mokhtarzadeh, M., et al., Determining Maintenance Opportunity Window (MOW) in Job-Shop Systems by Considering Manpower of Maintenance. Journal of Quality Engineering and Production Optimization, 2019. 41(1): 41-54.
• 19. Mosheiov, G., et al., Two-machine flow shop and open shop scheduling problems with a single maintenance window. European Journal of Operational Research, 2018. 271(2): 388-400. https://doi.org/10.1016/j.ejor.2018.04.019
• 20. Munford, A.G. and A.K. Shahani, A Nearly Optimal Inspection Policy. Journal of the Operational Research Society, 1972. 23(3): 373-379. https://doi.org/10.1057/jors.1972.56
• 21. Nakagawa, T., S. Mizutani, and M. Chen, A summary of periodic and random inspection policies. Reliability Engineering & System Safety, 2010. 95(8): 906-911. https://doi.org/10.1016/j.ress.2010.03.012
• 22. Raza, A. and V. Ulansky, Modelling of predictive maintenance for a periodically inspected system. Procedia CIRP, 2017. 59: 95-101. https://doi.org/10.3390/math8101815
• 23. Sett, B.K., B.K. Dey, and B. Sarkar, Autonomated Inspection Policy for Smart Factory—An Improved Approach. 2020. 8(10): 1815. https://doi.org/10.3390/math8101815
• 24. Seyedhosseini, S.M., H. Moakedi, and K. Shahanaghi, Imperfect inspection optimization for a two-component system subject to hidden and two-stage revealed failures over a finite time horizon. Reliability Engineering & System Safety, 2018. 174: 141-156. https://doi.org/10.1016/j.ress.2018.02.024
• 25. Shahraki, A.F., O.P. Yadav, and H. Liao, A review on degradation modelling and its engineering applications. International Journal of Performability Engineering, 2017. 13(3): 299-314. https://doi.org/10.23940/ijpe.17.03.p6.299314
• 26. Shahraki, A.F., O.P. Yadav, and H. Liao, A Review on Degradation Modelling and Its Engineering Applications Int J Performability Eng, 2017. 13(3): 299-314. https://doi.org/10.23940/ijpe.17.03.p6.299314
• 27. Si, X., T. Li, and Q. Zhang, A General Stochastic Degradation Modeling Approach for Prognostics of Degrading Systems With Surviving and Uncertain Measurements. IEEE Transactions on Reliability, 2019. 68(3): 1080-1100. https://doi.org/10.1109/TR.2019.2908492
• 28. Sun, Q., Z. Ye, and N. Chen, Optimal inspection and replacement policies for multi-unit systems subject to degradation. IEEE Transactions on Reliability, 2018. 67(1): 401-413. https://doi.org/10.1109/TR.2017.2778283
• 29. Wang, D., et al., Nonlinear-drifted Brownian motion with multiple hidden states for remaining useful life prediction of rechargeable batteries. Mechanical Systems and Signal Processing, 2017. 93(01): 531-544. https://doi.org/10.1016/j.ymssp.2017.02.027
• 30. Wang, X.J., et al., Remaining useful life prediction based on the Wiener process for an aviation axial piston pump. Chinese Journal of Aeronautics, 2016. 29(3): 779-788. https://doi.org/10.1016/j.cja.2015.12.020
• 31. Wen, Y., et al., Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective. Measurement, 2022. 187. https://doi.org/10.1016/j.measurement.2021.110276
• 32. Xiao, H., et al., Optimal inspection policy for a single-unit system considering two failure modes and production wait time. IEEE Transactions on Reliability, 2021: 1-13.
• 33. Yousefi, N., D.W. Coit, and S. Song, Reliability analysis of systems considering clusters of dependent degrading components. Reliability Engineering and System Safety, 2020. 202: 1-14. https://doi.org/10.1016/j.ress.2020.107005
• 34. Yu, W., et al., A nonlinear-drift-driven Wiener process model for remaining useful life estimation considering three sources of variability. Reliability Engineering & System Safety, 2021. 212(107631): 1-13. https://doi.org/10.1016/j.ress.2021.107631
• 35. Yue, D. and Q. Gao, A geometric process model for deteriorating operating system with periodic and random inspections. Quality Technology & Quantitative Management, 2017. 14(3): 269-279. https://doi.org/10.1080/16843703.2016.1208933
• 36. Zhang, F., J. Shen, and Y. Ma, Optimal maintenance policy considering imperfect repairs and non-constant probabilities of inspection errors. Reliability Engineering & System Safety, 2020. 193: 106615. https://doi.org/10.1016/j.ress.2019.106615
• 37. Zhang, Z., et al., Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods. European Journal of Operational Research, 2018. 271(3): 775-796. https://doi.org/10.1016/j.ejor.2018.02.033
• 38. Zhang, Z. and L. Yang, State-Based Opportunistic Maintenance With Multifunctional Maintenance Windows. IEEE Transactions on Reliability, 2021. 70(4): 1481-1494. https://doi.org/10.1109/TR.2020.2995277
• 39. Zhao, X., et al., Optimal inspection and replacement policy based on experimental degradation data with covariates. IISE Transactions, 2019. 51(3): 322-336. https://doi.org/10.1080/24725854.2018.1488308
• 40. Zhao, X. and T. Nakagawa, Optimal periodic and random inspections with first, last and overtime policies. International Journal of Systems Science, 2015. 46(9): 1648-1660. https://doi.org/10.1080/00207721.2013.827263