RESEARCH PAPER
Multi-reliability index evaluation and maintenance period optimization method of wind turbine considering failure correlation
1
Department of Mechanical Engineering, North China Electric Power University, China
2
Hebei Engineering Research Center for Advanced Manufacturing & Intelligent Operation and Maintenance of Electric Power Machinery, China
Submission date: 2024-11-04
Final revision date: 2024-12-09
Acceptance date: 2025-02-11
Online publication date: 2025-02-15
Publication date: 2025-02-15
Corresponding author
Yuling He
Hebei Engineering Research Center for Advanced Manufacturing & Intelligent Operation and Maintenance of Electric Power Machinery, China
Hebei Engineering Research Center for Advanced Manufacturing & Intelligent Operation and Maintenance of Electric Power Machinery, China
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(3):201338
HIGHLIGHTS
- Multi-reliability indexes of wind turbine are obtained.
- The optimal maintenance period of wind turbine is determined.
- The failure correlation among wind turbine components is considered.
- The validity of the proposed method is verified by example analysis.
KEYWORDS
reliability evaluationWind turbinefailure correlationsequential Monte Carlomaintenance period optimization
TOPICS
ABSTRACT
A multi-reliability index evaluation and maintenance period optimization method of wind turbine considering failure correlation is proposed to address the problems that the most existing reliability evaluation methods of wind turbine fail to consider the failure correlation among system components and often rely on a single reliability index to conduct reliability evaluation. Firstly, considering the failure correlation among system components, the reliability model of wind turbine and its comprehensive reliability model for component are established. Secondly, based on the sequential Monte Carlo simulation, a multi-reliability index evaluation method of wind turbine considering failure correlation and maintenance combination strategy is presented. Moreover, the maintenance period optimization method of wind turbine is proposed by using the unit time cost as the objective function. Finally, the effectiveness of the proposed method is verified through example analysis.
ACKNOWLEDGEMENTS
This work is supported by National Natural Science Foundation of China (52177042), Key Project of Science and Technology Research of Hebei Province Higher Education Institutions(ZD2022162), Hebei Province Higher Education Scientific Research Project(ZC2025087), Fundamental Research Funds for the Central Universities (2024MS133), Top Youth Talent Support Program of Hebei Province ([2018]-27), Hebei Provincial High-Level Talent Funding Project (B20231006).
REFERENCES (37)
1.
Algolfat A, Wang WZ, Albarbar A. Damage identification of wind turbine blades - a brief review. Journal of Dynamics, Monitoring and Diagnostics. 2023, 2 (3): 198-206. https://doi.org/10.37965 /jdmd.2023.422.
2.
Fan QX, Jiang MH, Xu S. Technical systems of advanced ultra-supercritical coal-fired power units under the carbon neutralization target. Proceedings of the CSEE. 2024; 44(18): 7167-7177. https://doi.org/10.13334/j.025....
3.
Pang B, Zhou ZY, Qi XF, Zheng HS. Analysis of vibration characteristics of inter-turn short circuit fault of double-fed asynchronous wind turbine generator rotor. Journal of Hebei University (Natural Science Edition). 2024, 44 (1): 9-16. https://doi.org/10.3969/j.issn....
4.
Hu ZY, Gao BT, Zhang L, Wang WZ, Pan SK. Bidirectional support capability analysis and adaptive inertial control strategy of wind turbine. Transactions of China Electrotechnical Society. 2023; 38(19): 5224-5240. https://doi.org/ 10.19595/j.cnki.1000-6753.tces.230981.
5.
Zhu YC, Zhu CC, Song CS, Li Y, Chen X, Yong B. Improvement of reliability and wind power generation based on wind turbine real-time condition assessment. International Journal of Electrical Power and Energy Systems. 2019; 11: 344-354. https://doi.org/10.1016/j.ijep....
6.
Mareike L, Athanasios K. Reliability-based design optimization of a spar-type floating offshore wind turbine support structure. Reliability Engineering & System Safety. 2021; 213: https://doi.org/107666. 10.1016/J.RESS.2021.107666.
7.
Li Y, Coolen PF, Zhu CC, Tan JJ. Reliability assessment of the hydraulic system of wind turbine based on load-sharing using survival signature. Renewable Energy. 2020; 153: 766-776. https://doi.org/10.1016/j.rene....
8.
Song YP, Biswajit B, Zhang ZL, Sørensen JD, Li J, Chen JB. Dynamic reliability analysis of a floating offshore wind turbine under wind-wave joint excitations via probability density evolution method. Renewable Energy. 2021; 168: 991-1014. https://doi.org/10.1016/J.RENE....
9.
Duan GZ, Qin WP, Lei D, Li SW, Shi JJ. Wind turbine reliability analysis considering operating environment. Acta Energiae Solaris Sinica. 2020; 41(05): 150-158. https://doi.org/10.19912/j.025....
10.
Chen F, Wei ZN, Zhang XL, Liu HT, Li J. Reliability modeling of wind farms incorporating correlation between wind speed and failure of wind turbine and its application. Proceedings of the CSEE. 2016; 36 (11): 2900-2908. https://doi.org/10.13334/j.025....
11.
Zhu DP, Ding ZX, Huang XG, Li X. Probabilistic modeling for long-term fatigue reliability of wind turbine based on Markov model and subset simulation. International Journal of Fatigue. 2023; 173: 107685. https://doi.org/10.1016/J.IJFA....
12.
Verstraeten T, Nowé A, Keller J, Guo Y, Sheng SW, Helsen J. Fleetwide data-enabled reliability improvement of wind turbine. Renewable and Sustainable Energy Reviews. 2019; 109: 428-437. https://doi.org/10.1016/j.rser....
13.
Li JL, Zhang XR, Zhou X, Lu LY. Reliability assessment of wind turbine bearing based on the degradation-Hidden-Markov model. Renewable Energy. 2019; 132: 1076-1087. https://doi.org/10.1016/j.rene....
14.
Tang HK, Wang HL, Li CJ. Time-varying cost modeling and maintenance strategy optimization of plateau wind turbines considering degradation states. Applied Energy. 2024, 377: 124464. https://doi.org/10.1016/j.apen....
15.
Jiang XH, Wang YY, Li JX, Ye LL. Comprehensive importance analysis for repairable system components based on the GO method. Eksploatacja i Niezawodność – Maintenance and Reliability. 2022, 24 (4): 785–794. http://doi.org/10.17531/ein.20....
16.
Li JK, Wang HZ, Tang YQ, Li ZD, Jiang XH. Reliability analysis of load-sharing system with the common-cause failure based on GO-FLOW method. Reliability Engineering and System Safety. 2024, 254: 110590. https://doi.org/10.1016/j.ress....
17.
Gao WK, Wang Y, Zhang XW, Wang ZZ. Quasi-periodic Inspection and Preventive Maintenance Policy Optimization for a system with Wiener Process degradation. Eksploatacja i Niezawodność–Maintenance and Reliability. 2023; 25 (2): 162433. https://doi.org/ 10.17531/EIN/162433.
18.
Mirosław S，Klaudiusz M，Sylwester B，Neubauer A, Hujo L, Kopiláková B. Application of the Semi-Markov Processes to Model the Enercon E82-2 Preventive Wind Turbine Maintenance System. Energies. 2023; 17(1): 199. https://doi.org/ 10.3390/EN17010199.
19.
Zhang YJ, Shen JY, Ma YZ. An optimal preventive maintenance policy for a two-stage competing-risk system with hidden failures. Computers & Industrial Engineering. 2021; 154: 107135. https://doi.org/ 10.1016/J.CIE.2021.107135.
20.
Li JH, Xu JS, Ren LN. Imperfect preventive replacement maintenance model under reliability constraints. Acta Energiae Solaris Sinica. 2022; 43(04): 446-452. https://doi.org/ 10.19912/j.0254-0096.tynxb.2020-1372.
21.
Liu QM, Yun FZ, Dong M, Lv WY, Liu YH. Condition-based maintenance optimization for multi-equipment batch production system based on stochastic demand. Computers and Chemical Engineering. 2024; 186: 108699. https://doi.org/10.1016/J.COMP....
22.
Su C, Li L. Optimization of non-equal periodic preventive maintenance based on hidden semi-Markov degradation model. Journal of Southeast University (Natural Science Edition). 2021; 51(02): 342-349. https://doi.org/10.3969/j.issn....
23.
Liu LJ, Fu Y, Ma SW, Xu WX. preventive maintenance strategy for offshore wind turbine based on reliability and maintenance priority. Proceedings of the CSEE. 2016; 36(21): 5732 -5740+6015. https://doi.org/ 10.13334/j.0258-8013.pcsee.152486.
24.
He R, Tian ZG, Wang YF, Zuo MJ, Guo ZW. Condition-based maintenance optimization for multi-component systems considering prognostic information and degraded working efficiency. Reliability Engineering and System Safety. 2023; 234: 109167. https://doi.org/ 10.1016/J.RESS.2023.109167.
25.
Antonio SH, Angel MN, Adolfo CM, Francisco RM. Finite time preventive maintenance optimization by using a Semi-Markov process with a degraded state. A case study for diesel engines in mining. Computers & Industrial Engineering. 2024; 190: 110083. https://doi.org/ 10.1016/J.CIE.2024.110083.
26.
Qin ZC, Su HS. Reliability evaluation of key components of wind turbine based on improved Weibull distribution. Electrical Measurement & Instrumentation. 2021; 58(03): 68-73. https://doi.org/10.19753/j.iss....
27.
Susumu S, Takashi A. Sequential Bayesian inference for Weibull distribution parameters with initial hyperparameter optimization for system reliability estimation. Reliability Engineering and System Safety. 2022; 224: 108516. https://doi.org/ 10.1016/J.RESS.2022.108516.
28.
Wang WB, Liu WX, Fang Y, Zheng YK, Lin C, Jiang YH, Liu D. Reliability analysis of subway sliding plug doors based on improved FMECA and Weibull distribution. Eksploatacja i Niezawodność – Maintenance and Reliability. 2024; 26 (2): 178275. https://doi.org/10.17531/EIN/1....
29.
Zhao HS, Lin SY, Qu YH, Yang A, Chang JY. Reliability evaluation of wind turbine competitive failure considering extreme weather impact process. Electric Power Automation Equipment, 2024; 44 (04): 40-47. https://doi.org/10.16081/j.epa....
30.
Lu LX, Zhang RP, Dong HY. Considering maintenance strategy of wind turbine with failure correlation. Renewable Energy Resources. 2020; 38(04): 477-483. https://doi.org/10.13941/j.cnk....
31.
Han SY. Research on condition based opportunistic maintenance strategy for double-fed wind turbine under failure interaction. Lanzhou: Lanzhou Jiaotong University. 2017.
32.
Fu YQ, Zhu XY. A joint age-based system replacement and component reallocation maintenance policy: Optimization, analysis and resilience. Reliability Engineering and System Safety. 2023; 235: 109240. https://doi.org/10.1016/J.RESS....
33.
Wang HP, Duan FH, Ma J. Selective maintenance model and its solving algorithm for complex system. Journal of Beijing University of Aeronautics and Astronautics. 2020; 46(12): 2264-2273. https://doi.org/10.13700/j.bh.....
34.
Cheng L. Research on Preventive Maintenance Strategy of Wind Turbine Based on Stochastic Differential Equation. Lanzhou: Lanzhou Jiaotong University. 2022.
35.
Qian WX, Zeng XH, Huang SH, Yin XW. Reliability analysis of multi-site damage with failure dependency of the turbine based on flow-thermal-solid coupling analysis and the Monte Carlo validated simulations. Eksploatacja i Niezawodność – Maintenance and Reliability. 2023; 25 (3): 168771. https://doi.org/10.17531/EIN/1....
36.
Liu WX, Jiang C, Zhang JH, Wang XW, Yu L, Liu DX. A multistage reliability model of wind turbine for sequential Monte Carlo simulation. Power System Protection and Control. 2013; 41(08): 73-80.
37.
Zhao HS, Li ZL, Liu HY, Liang BT. Research on combination maintenance strategy for wind farms. Acta Energiae Solaris Sinica. 2021; 42(02): 189-196. https://doi.org/10.19912/j.025....
| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
