Abstract
On the basis of an overview of the global responses of a nonlinear Jeffcott rotor/stator contact model, the system reliability was evaluated subject to mixed aleatory-epistemic uncertainty. We used a likelihood-based approach for reliability modeling and analysis. In the context of uncertainty quantification, some advanced Bayesian techniques were adopted to reduce the computation cost in traditional Monte Carlo method. The parameters’ effects on reliability were studied, incorporating both rotor physical background and inherent uncertain factors. This framework could be applied in the field of industrial manufacturing & mounting, risk assessment, product maintaining and benefit rotary machines from design phase to operation stage.
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Recommended by Associate Editor Byeng Dong Youn
Lechang Yang is a post-doctoral in the School of Mechanical Engineering, University of Science and Technology Beijing. He received a Ph.D. from the School of Reliability and Systems Engineering, Beihang University. He also earned a B.S. degree in the school of Aeronautic Science and Engineering, Beihang University. His research is primarily focused on statistics modeling, Bayesian analysis and reliability of nonlinear systems.
Ketai He is an Associate Professor of Mechanical Engineering, University of Science and Technology Beijing. He received his Ph.D. and M.S. in the School of Mechanical Engineering & Automation, Beihang University. His B.S. is from the School of Mechanical Engineering, Shandong University of Technology. His research is primarily focused on quality control and intelligent manufacturing.
Yanling Guo is an experimentalist in the School of Automation Science and Electrical Engineering, Beihang University. She received the M.S. in the School of Automation Science and Electrical Engineering, Beihang University. Her B.S. in Electrical Engineering, Yanshan University. Her research is primarily focused on complex networks and systems, stability theory and nonlinear control.
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Yang, L., He, K. & Guo, Y. Reliability analysis of a nonlinear rotor/stator contact system in the presence of aleatory and epistemic uncertainty. J Mech Sci Technol 32, 4089–4101 (2018). https://doi.org/10.1007/s12206-018-0808-2
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DOI: https://doi.org/10.1007/s12206-018-0808-2