PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Reliability estimation for momentum wheel bearings considering frictional heat

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Ocena niezawodności łożysk kół zamachowych z uwzględnieniem ciepła tarcia
Języki publikacji
EN
Abstrakty
EN
Momentum wheels are the key components of the inertial actuators in the satellites, and the momentum wheel bearings are weak links of momentum wheels as they operate under harsh conditions. The reliability estimation for momentum wheel bearings are helpful to guarantee the mission successes for both momentum wheels and satellites. Hence, this paper put emphasis into reliability estimation of a momentum wheel bearing considering multiple coupling operating conditions and frictional heat by using the finite element analysis. The stress-strength interference model is employed to calculate the reliability of the momentum wheel bearing. A comparative analysis for reliability estimation with and without frictional heat of the momentum wheel bearing is conducted. The results show that the frictional heat cannot be ignored in the reliability analysis of momentum wheel bearings.
PL
Koła zamachowe są kluczowymi elementami składowymi siłowników bezwładnościowych w satelitach. Ich łożyska stanowią słaby punkt podczas pracy w trudnych warunkach. Ocena niezawodności łożysk kół zamachowych pozwala zapewnić powodzenie misji zarówno w odniesieniu do samych kół zamachowych, jak i satelitów. Dlatego też niniejszy artykuł poświęcono zagadnieniu oceny niezawodności łożyska koła zamachowego z wykorzystaniem analizy metodą elementów skończonych przy uwzględnieniu wielu sprzężonych warunków pracy oraz ciepła tarcia. Do obliczenia niezawodności łożyska koła zamachowego zastosowano model obciążeniowo-wytrzymałościowy. Przeprowadzono także analizę porównawczą oceny niezawodności łożyska koła zamachowego z uwzględnieniem lub bez uwzględnienia ciepła tarcia. Wyniki pokazują, że w analizie niezawodności łożysk kół zamachowych nie można pominąć ciepła tarcia.
Rocznik
Strony
6--14
Opis fizyczny
Bibliogr. 38 poz., rys., tab.
Twórcy
  • Center for System Reliability and Safety School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu, Sichuan, 611731, P. R. China
autor
  • Center for System Reliability and Safety School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu, Sichuan, 611731, P. R. China
autor
  • Center for System Reliability and Safety School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu, Sichuan, 611731, P. R. China
autor
  • Center for System Reliability and Safety School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu, Sichuan, 611731, P. R. China
  • Center for System Reliability and Safety School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu, Sichuan, 611731, P. R. China
Bibliografia
  • 1. Al-Mutairi D K, Ghitany M E, Kundu D. Inferences on stress-strength reliability from Lindley distributions. Communications in Statistics-Theory and Methods 2013; 42(8): 1443-1463, https://doi.org/10.1080/03610926.2011.563011.
  • 2. Bhuyan P, Dewanji A. Reliability computation under dynamic stress-strength modeling with cumulative stress and strength degradation. Communications in Statistics-Simulation and Computation 2017; 46(4): 2701-2713, https://doi.org/10.1080/03610918.2015.1057288.
  • 3. Bingjie W, Guang J. Reliability modeling and analyzing of momentum wheel based on Gamma process. Value Engineering 2010; (1): 25-27.
  • 4. Castet J F, Saleh J H. Beyond reliability, multi-state failure analysis of satellite subsystems: a statistical approach. Reliability Engineering & System Safety 2010; 95(4): 311-322, https://doi.org/10.1016/j.ress.2009.11.001.
  • 5. Castet J F, Saleh J H. Satellite and satellite subsystems reliability: Statistical data analysis and modeling. Reliability Engineering & System Safety 2009; 94(11): 1718-1728, https://doi.org/10.1016/j.ress.2009.05.004.
  • 6. Huang C G, Huang H Z, Li Y F. A Bi-Directional LSTM prognostics method under multiple operational conditions. IEEE Transactions on Industrial Electronics 2019; 66(11): 8792-8802, https://doi.org/10.1109/TIE.2019.2891463.
  • 7. Jansen M J, Jones Jr W R, Pepper S V, Wheeler D R, Schroeer A, Fluehmann F, Shogrin B A. The effect of TiC coated balls and stress on the lubricant lifetime of a synthetic hydrocarbon (Pennzane 2001A) using a vacuum spiral orbit tribometer. In Proceeding International Tribology Conference, Nagasaki, Japan; October 2000.
  • 8. Jin G, Feng J. Bayes-Weibull reliability assessment method for long life satellite moving components. Systems Engineering and Electronics 2009; 31(8): 2020-2023.
  • 9. Jin G, Liu Q, Zhou J, Zhou Z. Repofe: Reliability physics of failure estimation based on stochastic performance degradation for the momentum wheel. Engineering Failure Analysis 2012; 22: 50-63, https://doi.org/10.1016/j.engfailanal.2011.12.004.
  • 10. Jin G, Matthews D, Fan Y, Liu Q. Physics of failure-based degradation modeling and lifetime prediction of the momentum wheel in a dynamic covariate environment. Engineering Failure Analysis 2013; 28: 222-240, https://doi.org/10.1016/j.engfailanal.2012.10.027.
  • 11. Khonsari M, Booser E R. Predicting lube life-heat and contaminants are the biggest enemies of bearing grease and oil. Machinery Lubrication 2003; 75(1): 89-90, 92.
  • 12. Li H, Huang H Z, Li Y F, Zhou J, Mi J. Physics of failure-based reliability prediction of turbine blades using multi-source information fusion. Applied Soft Computing 2018; 72: 624-635, https://doi.org/10.1016/j.asoc.2018.05.015.
  • 13. Li H, Pan D, Chen C L P. Reliability modeling and life estimation using an expectation maximization based wiener degradation model for momentum wheels. IEEE transactions on cybernetics 2014; 45(5): 969-977, https://doi.org/10.1109/TCYB.2014.2341113.
  • 14. Li X Y, Huang H Z, Li Y F, Zio E. Reliability assessment of multi-state phased mission system with non-repairable multi-state components. Applied Mathematical Modelling 2018; 61: 181-199, https://doi.org/10.1016/j.apm.2018.04.008.
  • 15. Li X Y, Li Y F, Huang H Z, Zio E. Reliability assessment of phased-mission systems under random shocks. Reliability Engineering & System Safety 2018; 180: 352-361, https://doi.org/10.1016/j.ress.2018.08.002.
  • 16. Li X, Huang H Z, Li F, Ren L. Remaining useful life prediction model of the space station. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2019; 21(3): 501-510, https://doi.org/10.17531/ein.2019.3.17.
  • 17. Li X, Huang H Z, Li Y F, Li Y F. Reliability evaluation for VHF and UHF bands under different scenarios via propagation loss model. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2019; 21(3): 375-383, https://doi.org/10.17531/ein.2019.3.3.
  • 18. Li Y F, Huang H Z, Liu Y, Xiao N, Li H. A new fault tree analysis method: fuzzy dynamic fault tree analysis. Eksploatacja i Niezawodnos c-Maintenance and Reliability 2012; 14(3): 208-214.
  • 19. Li Y F, Huang H Z, Mi J, Peng W, Han X. Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability. Annals of Operations Research 2019; https://doi.org/10.1007/s10479-019-03247-6, https://doi.org/10.1007/s10479-019-03247-6.
  • 20. Li Y F, Mi J, Huang H Z, Xiao N C, Zhu S P. System reliability modeling and assessment for solar array drive assembly based on Bayesian networks. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2013; 15(2): 117-122.
  • 21. Li Y F, Mi J, Huang H Z, Zhu S P, Xiao N. Fault tree analysis of train rear-end collision accident considering common cause failure. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2013; 15(4): 403-408.
  • 22. Liu Q, Jin G, Zhou J. A modeling method of performance reliability of momentum wheel based on EMD. Computer Simulation 2007; 24(11):32-34, 158.
  • 23. Liu Q, Zhou J, Jin G, Li H T. Bayesian reliability estimation for momentum wheel based on credibility. Journal of Astronautics 2009; 30(1):382-386.
  • 24. Liu Y, Shi Y, Bai X, Liu B. Stress-strength reliability analysis of system with multiple types of components using survival signature. Journal of Computational and Applied Mathematics 2018; 342: 375-398, https://doi.org/10.1016/j.cam.2018.04.029.
  • 25. Liu Y, Shi Y, Bai X, Zhan P. Reliability estimation of a NM-cold-standby redundancy system in a multicomponent stress-strength model with generalized half-logistic distribution. Physica A: Statistical Mechanics and its Applications 2018; 490: 231-249, https://doi.org/10.1016/j.physa.2017.08.028.
  • 26. Masuko M, Mizuno H, Suzuki A, Obara S, Sasaki A. Lubrication performance of multialkylatedcyclopentane oils for sliding friction of steel under vacuum condition. Journal of Synthetic Lubrication 2007; 24(4): 217-226, https://doi.org/10.1002/jsl.41.
  • 27. Mi J, Li Y F, Peng W, Huang H Z. Reliability analysis of complex multi-state system with common cause failure based on evidential networks. Reliability Engineering & System Safety 2018; 174: 71-81, https://doi.org/10.1016/j.ress.2018.02.021.
  • 28. Mi J, Li Y F, Yang Y J, Peng W, Huang H Z. Reliability assessment of complex electromechanical systems under epistemic uncertainty. Reliability Engineering & System Safety 2016; 152: 1-15, https://doi.org/10.1016/j.ress.2016.02.003.
  • 29. Palladino M, Murer J, Didierjean S, Gaillard L. Life prediction of fluid lubricated space bearings: A case study. In Proc. 14th Eur. Space Mechanisms Tribol. Symp 2011; 279-285.
  • 30. Prado J, Bisiacchi G, Reyes L, Vicente E, Contreras F, Mesinas M, Juares A. Three-axis air-bearing based platform for small satellite attitude determination and control simulation. Journal of Applied Research and Technology 2005; 3(3): 222-237.
  • 31. Sathyan K, Gopinath K, Lee S H, Hsu H Y. Bearing retainer designs and retainer instability failures in spacecraft moving mechanical systems. Tribology Transactions 2012; 55(4): 503-511, https://doi.org/10.1080/10402004.2012.675118.
  • 32. Sathyan K, Hsu H Y, Lee S H, Gopinath K. Long-term lubrication of momentum wheels used in spacecrafts-an overview. Tribology International 2010; 43(1-2): 259-267, https://doi.org/10.1016/j.triboint.2009.05.033.
  • 33. Tafazoli M. A study of on-orbit spacecraft failures. Acta Astronautica 2009; 64(2-3): 195-205, https://doi.org/10.1016/j.actaastro.2008.07.019.
  • 34. Wang B X, Geng Y, Zhou J X. Inference for the generalized exponential stress-strength model. Applied Mathematical Modelling 2018; 53:267-275, https://doi.org/10.1016/j.apm.2017.09.012.
  • 35. Xu H, Li W, Li M, Hu C, Zhang S, Wang X. Multidisciplinary robust design optimization based on time-varying sensitivity analysis. Journal of Mechanical Science and Technology 2018; 32(3): 1195-1207, https://doi.org/10.1007/s12206-018-0223-8.
  • 36. Zhang J, Ma X, Zhao Y. A stress-strength time-varying correlation interference model for structural reliability analysis using copulas. IEEE Transactions on Reliability 2017; 66(2): 351-365, https://doi.org/10.1109/TR.2017.2694459.
  • 37. Zhang X, Gao H, Huang H Z, Li Y F, Mi J. Dynamic reliability modeling for system analysis under complex load. Reliability Engineering & System Safety 2018; 180: 345-351, https://doi.org/10.1016/j.ress.2018.07.025.
  • 38. Zheng B, Li Y F, Huang H Z. Intelligent fault recognition strategy based on adaptive optimized multiple centers. Mechanical Systems and Signal Processing 2018; 106: 526-536, https://doi.org/10.1016/j.ymssp.2017.12.026.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-32e14172-3619-4223-9aff-d37a502d75f4
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.