Document Type
Article
Publication Date
2020
DOI
10.1016/j.cja.2019.08.018
Publication Title
Chinese Journal of Aeronautics
Volume
33
Issue
8
Pages
2230-2241
Abstract
With several attractive properties, rotary lip seals are widely used in aircraft utility system, and their reliability estimation has drawn more and more attention. This work proposes a reliability estimation approach based on time-varying dependence analysis. The dependence between the two performance indicators of rotary lip seals, namely leakage rate and friction torque, is modeled by time-varying copula function with polynomial to denote the time-varying parameters, and an efficient copula selection approach is utilized to select the optimal copula function. Parameter estimation is carried out based on a Bayesian method and the reliability during the whole lifetime is calculated based on a Monte Carlo method. Degradation test for rotary lip seal is conducted and the proposed model is validated by test data. The optimal copula function and optimal order of polynomial are determined based on test data. Results show that this model is effective in estimating the reliability of rotary lip seals and can achieve a better goodness of fit.
Original Publication Citation
Zhang, C., Chen, R., Bai, G., Wang, S., & Tomovic, M. M. (2020). Reliability estimation of rotary lip seal in aircraft utility system based on time-varying dependence degradation model and its experimental validation. Chinese Journal of Aeronautics, 33(8), 2230-2241. https://doi.org/https://doi.org/10.1016/j.cja.2019.08.018
Repository Citation
Zhang, Chao; Chen, Rentong; Bai, Guanghan; Wang, Shaoping; and Tomovic, Mileta M., "Reliability Estimation of Rotary Lip Seal in Aircraft Utility System Based on Time-Varying Dependence Degradation Model and Its Experimental Validation" (2020). Engineering Technology Faculty Publications. 138.
https://digitalcommons.odu.edu/engtech_fac_pubs/138
Comments
© 2019 Chinese Society of Aeronautics and Astronautics. This is an open access article under the Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Creative Commons License.
The publisher's version is available at: https://doi.org/10.1016/j.cja.2019.08.018