Maintenance policy of degradation components based on the two-phase Wiener process

• Autorzy: Song Minqiao , Zhang Yingzhi , Yang Fang , Wang Xiaofeng , Guo Guiming

Identyfikatory

DOI

10.17531/ein/172537

• Języki publikacji: EN

Abstrakty

EN

This paper proposes a condition-based maintenance policy for the two-phase Wiener degradation process components. The main contribution of this article is to provide the time distribution of degradation failures for the two-phase Wiener process degradationcomponent, as well as the modeling and solving methods for two-phase maintenance. The two-phase maintenance policy includes two-phase inspection and preventive replacement maintenance operations. The established optimization maintenance policy model aims to minimize long-term operation costs. The specific cost calculation equation and the solution method of the maintenance model are given. The feasibility of the maintenance policy model is verified using the two-phase degradation data of the Liquid Coupling Devices. The Particle swarm optimization algorithm can stably solve the described problem, and the results show that the two-phase maintenance policy can be more economical and improve components availability. After that, we also analyzed the impact of the cost parameters on the maintenance policy through sensitivity analysis.

Słowa kluczowe

EN

condition-based maintenance; two-phase inspection; two-phase Wiener process; Particle Swarm Optimization; sensitivity analysis

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2023
• Tom: Vol. 25, no. 4
• Strony: art. no. 172537
• Opis fizyczny: Bibliogr. 31 poz., rys., tab., wykr.

Twórcy

autor

Song Minqiao

• Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, China
• School of Mechanical and Aerospace Engineering, Jilin University, China

autor

Zhang Yingzhi

• Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, China
• School of Mechanical and Aerospace Engineering, Jilin University, China

• https://orcid.org/0000-0002-2856-5156

autor

Yang Fang

• China FAW Group Co., LTD. NEV Inst, China

autor

Wang Xiaofeng

• College of Construction Engineering, Jilin University, China

autor

Guo Guiming

• Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, China
• School of Mechanical and Aerospace Engineering, Jilin University, China

Bibliografia

• 1. Ahmad R, Kamaruddin S. An overview of time-based and condition-based maintenance in industrial application. Computers & Industrial Engineering 2012; 63(1): 135-149, https://doi.org/10.1016/j.cie.2012.02.002.
• 2. Alaswad S, Xiang YS. A review on condition-based maintenance optimization models for stochastically deteriorating system. Reliability Engineering & System Safety 2017; 157: 54-63, https://doi.org/10.1016/j.ress.2016.08.009.
• 3. Alberti AR, Neto WAF, Cavalcante CAV, Santos ACJ. Modelling a flexible two-phase inspection-maintenance policy for safety-critical systems considering revised and non-revised inspections. Reliability Engineering & System Safety 2022; 221, https://doi.org/10.1016/j.ress.2021.108309.
• 4. Dong Q, Cui L. A study on stochastic degradation process models under different types of failure Thresholds. Reliability Engineering & System Safety 2019; 181: 202-212, https://doi.org/10.1016/j.ress.2018.10.002.
• 5. Feng J, Sun Q, Jin T. Storage Life Prediction for a High-Performance Capacitor Using Multi-Phase Wiener Degradation Model. Communications in Statistics -Simulation and Computation 2012; 41(8): 1317-1335, https://doi.org/10.1080/03610918.2011.624241.
• 6. Fouladirad M, Grall A. On-line change detection and condition-based maintenance for systems with unknown deterioration parameters. IMA Journal of Management Mathematics 2012; 25(2): 139-158, https://doi.org/10.1093/imaman/dps032.
• 7. Freitas MA, de Toledo MLG, Colosimo EA, Pires MC. Using degradation data to assess reliability: a case study on train wheel degradation. Quality and Reliability Engineering International 2009; 25(5): 607-629, https://doi.org/10.1002/qre.995.
• 8. Hu CH. Optimum degradation test plan under model mis-specification for Wiener and gamma processes. Commun Stat-Simul C 2021: 1-14, https://doi.org/10.1080/03610918.2021.1890121.
• 9. Huang CC, Yuan J. A two-stage preventive maintenance policy for a multi-state deterioration system. Reliability Engineering & System Safety 2010; 95(11): 1255-1260, https://doi.org/10.1016/j.ress.2010.07.001.
• 10. Huynh KT, Barros A, Berenguer C, Castro IT. A periodic inspection and replacement policy for systems subject to competing failure modes due to degradation and traumatic events. Reliability Engineering & System Safety 2011; 96(4): 497-508, https://doi.org/10.1016/j.ress.2010.12.018.
• 11. Jiang R. Optimization of alarm threshold and sequential inspection scheme. Reliability Engineering & System Safety 2010; 95(3): 208-215, https://doi.org/10.1016/j.ress.2009.09.012.
• 12. Kong D, Balakrishnan N, Cui L. Two-Phase Degradation Process Model With Abrupt Jump at Change Point Governed by Wiener Process. IEEE Transactions on Reliability 2017; 66(4): 1345-1360, https://doi.org/10.1109/tr.2017.2711621.
• 13. Liu K, Zou TJ, Xin MC, Lv CM. RUL prediction based on two‐phase wiener process. Quality and Reliability Engineering International 2022; 38(7): 3829-3843, https://doi.org/10.1002/qre.3177.
• 14. Liu WG, Wang XG, Li SJ, Chang MX. Study on the Effect of Failure Threshold Change Rate on Product Reliability Based on Performance Degradation. Journal of Failure Analysis and Prevention 2020; 20(2): 448-454, https://doi.org/10.1007/s11668-020-00834-9.
• 15. Naderkhani F, Jafari L, Makis V. Optimal CBM policy with two sampling intervals. Journal of Quality in Maintenance Engineering 2017; 23(1): 95-112, https://doi.org/10.1108/jqme-07-2015-0030.
• 16. Naderkhani Zg F, Makis V. Optimal condition-based maintenance policy for a partially observable system with two sampling intervals. The International Journal of Advanced Manufacturing Technology 2014; 78(5-8): 795-805, https://doi.org/10.1007/s00170-014-6651-4.
• 17. Ni XL, Zhao JM, Song WY, Guo CM, Li HP. NONLINEAR DEGRADATION MODELING AND MAINTENANCE POLICY FOR A TWO-STAGE DEGRADATION SYSTEM BASED ON CUMULATIVE DAMAGE MODEL. Eksploatacja I Niezawodnosc-Maintenance and Reliability 2016; 18(2): 171-180, https://doi.org/10.17531/ein.2016.2.3.
• 18. Ponchet A, Fouladirad M, Grall A. Assessment of a maintenance model for a multi-deteriorating mode system. Reliability Engineering & System Safety 2010; 95(11): 1244-1254, https://doi.org/10.1016/j.ress.2010.06.021.
• 19. Raza A, Ulansky V. Optimal Preventive Maintenance of Wind Turbine Components with Imperfect Continuous Condition Monitoring. Energies 2019; 12(19), https://doi.org/10.3390/en12193801.
• 20. Sheu SH, Lin YB, Liao GL. Optimum policies for a system with general imperfect maintenance. Reliability Engineering & System Safety 2006; 91(3): 362-369, https://doi.org/10.1016/j.ress.2005.01.015.
• 21. Tangkuman S, Yang BS. Application of grey model for machine degradation prognostics. Journal of Mechanical Science and Technology 2012; 25(12): 2979-2985, https://doi.org/10.1007/s12206-011-0902-1.
• 22. van Noortwijk JM. A survey of the application of gamma processes in maintenance. Reliability Engineering & System Safety 2009; 94(1): 2-21, https://doi.org/10.1016/j.ress.2007.03.019.
• 23. Wang H, Zhao Y, Ma X. Remaining Useful Life Prediction Using a Novel Two-Stage Wiener Process With Stage Correlation. IEEE Access 2018; 6: 65227-65238, https://doi.org/10.1109/access.2018.2877630.
• 24. Wang P, Tang Y, Joo Bae S, He Y. Bayesian analysis of two-phase degradation data based on change-point Wiener process. Reliability Engineering & System Safety 2018; 170: 244-256, https://doi.org/10.1016/j.ress.2017.09.027.
• 25. Wang R, Zhu M, Zhang X, Pham H. Lithium-ion battery remaining useful life prediction using a two-phase degradation model with a dynamic change point. Journal of Energy Storage 2023; 59, https://doi.org/10.1016/j.est.2022.106457.
• 26. Wang X, Jiang P, Guo B, Cheng Z. Real-time Reliability Evaluation for an Individual Product Based on Change-point Gamma and Wiener Process. Quality and Reliability Engineering International 2014; 30(4): 513-525, https://doi.org/10.1002/qre.1504.
• 27. Wang Y, Kang R, Chen Y. Belief reliability modeling for the two-phase degradation system with a change point under small sample conditions. Computers & Industrial Engineering 2022; 173, https://doi.org/10.1016/j.cie.2022.108697.
• 28. Wen Y, Wu J, Das D, Tseng TL. Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity. Reliability Engineering & System Safety 2018; 176: 113-124, https://doi.org/10.1016/j.ress.2018.04.005.
• 29. Yan HC, Zhou JH, Pang CK. Machinery Degradation Inspection and Maintenance Using a Cost-Optimal Non-Fixed Periodic Strategy. IEEE Transactions on Instrumentation and Measurement 2016; 65(9): 2067-2077, https://doi.org/10.1109/tim.2016.2563998.
• 30. Yan WA, Song BW, Duan GL, Shi YM. Real-time reliability evaluation of two-phase Wiener degradation process. Communications in Statistics -Theory and Methods 2016; 46(1): 176-188, https://doi.org/10.1080/03610926.2014.988262.
• 31. Zhang Y, Wang S, Ji G. A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications. Mathematical Problems in Engineering 2015; 2015: 1-38, https://doi.org/10.1155/2015/931256.