Y
Yu Zhao
Researcher at Beihang University
Publications - 38
Citations - 1143
Yu Zhao is an academic researcher from Beihang University. The author has contributed to research in topics: Preventive maintenance & Condition-based maintenance. The author has an hindex of 16, co-authored 38 publications receiving 756 citations.
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Hybrid preventive maintenance of competing failures under random environment
TL;DR: A system subject to two typical failure modes, degradation-based failure and sudden failure is studied to jointly optimize the replacement interval, monitoring interval and reliability criterion such that the expected cost per unit time is minimized.
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An improved Wiener process model with adaptive drift and diffusion for online remaining useful life prediction
Han Wang,Xiaobing Ma,Yu Zhao +2 more
TL;DR: An improved Wiener process model is proposed for RUL prediction, in which both drift and diffusion parameters are adaptive with the updating of monitoring data, and the quantitative relationship between degradation rate and degradation variation is considered.
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Operations & Maintenance Optimization of Wind Turbines Integrating Wind and Aging Information
TL;DR: In this article, a weather-centered opportunistic maintenance policy is developed to enable a flexible maintenance resource allocation, and the net revenue of wind turbines is evaluated using the performance-based contracting (PBC).
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Reliability modeling for mutually dependent competing failure processes due to degradation and random shocks
TL;DR: In this paper, a realistic reliability model for mutually dependent competing failure processes due to degradation and random shocks is presented. And a numerical example of Micro-Electro-Mechanical System (MEMS) is conducted to illustrate the implementation and effectiveness of the proposed model.
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A preventive maintenance policy based on dependent two-stage deterioration and external shocks
TL;DR: This paper proposes a preventive maintenance policy for a single-unit system whose failure has two competing and dependent causes, i.e., internal deterioration and sudden shocks such that the expected cost per unit time is minimized.