BAYESIAN

作品数:864被引量:1973H指数:16
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  • 期刊=Chinese Journal of Aeronauticsx
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A novel Bayesian-based INS/GNSS integrated positioning method with both adaptability and robustness in urban environments
《Chinese Journal of Aeronautics》2024年第6期205-218,共14页Zhe YANG Hongbo ZHAO 
funded by National Natural Science Foundation of China(No.61901015)。
Achieving higher accuracy positioning results in urban environments at a lower cost has been an important pursuit in areas such as autonomous driving and intelligent transportation.Lowcost Inertial Navigation System a...
关键词:Urban environments Mahalanobis distance ADAPTABILITY ROBUSTNESS Integrated navigation 
Bayesian parameter estimation of SST model for shock wave-boundary layer interaction flows with different strengths被引量:3
《Chinese Journal of Aeronautics》2023年第4期217-236,共20页Denggao TANG Jinping LI Fanzhi ZENG Yao LI Chao YAN 
supported by the National Numerical WindTunnel Project(No.NNW2019ZT1-A03);the National Natural Science Foundation of China(No.11721202).
The Shock Wave-Boundary Layer Interaction(SWBLI)flow generated by compression corner widely occurs in engineering.As one of the primary methods in engineering,the Reynolds Averaged Navier-Stokes(RANS)methods usually c...
关键词:Bayesian calibration Boundary layers Compression corner Sensitivity analysis Shear-stress transport turbu-lence model Shock waves 
Selecting scale factor of Bayesian multi-fidelity surrogate by minimizing posterior variance
《Chinese Journal of Aeronautics》2022年第11期59-73,共15页Hongyan BU Liming SONG Zhendong GUO Jun LI 
the financial support from the National Science and Technology Major Project,China(No.2019-Ⅱ-0008-0028);Key Program of National Natural Science Foundation of China(No.51936008)。
The Bayesian Multi-Fidelity Surrogate(MFS)proposed by Kennedy and O’Hagan(KOH model)has been widely employed in engineering design,which builds the approximation by decomposing the high-fidelity function into a scale...
关键词:CO-KRIGING Gaussian process regression Multi-fidelity surrogate OPTIMIZATION Scale factor 
Bayesian uncertainty analysis of SA turbulence model for supersonic jet interaction simulations被引量:5
《Chinese Journal of Aeronautics》2022年第4期185-201,共17页Jinping LI Shusheng CHEN Fangjie CAI Sheng WANG Chao YAN 
supported by the National Numerical Windtunnel Project,China(No.NNW2019ZT1-A03);the National Natural Science Foundation of China(No.11721202)。
The Reynolds Averaged Navier-Stokes(RANS) models are still the workhorse in current engineering applications due to its high efficiency and robustness. However, the closure coefficients of RANS turbulence models are d...
关键词:Bayesian calibration MAP estimation SA turbulence model Supersonic jet interaction Uncertainty quantification 
Reliability assessment of engine electronic controllers based on Bayesian deep learning and cloud computing被引量:3
《Chinese Journal of Aeronautics》2021年第1期252-265,共14页Yujia WANG Rui KANG Ying CHEN 
supported by the National Natural Science Foundation of China(Nos.61503014 and 61573043)。
The reliability of an Engine Electronic Controller(EEC)attracts attention,which has a critical impact on aircraft engine safety.Reliability assessment is an important part of the design phase.However,the complex compo...
关键词:Engine electronic controllers Cloud computing Bayesian deep learning UNCERTAINTY Reliability assessment 
A Bayesian approach for integrating multilevel priors and data for aerospace system reliability assessment被引量:6
《Chinese Journal of Aeronautics》2018年第1期41-53,共13页Jian GUO Zhaojun LI Thomas KEYSER 
This paper investigates Bayesian methods for aerospace system reliability analysis using various sources of test data and expert knowledge at both subsystem and system levels. Four sce- narios based on available infor...
关键词:Bayesian inference Bayesian melding Multilevel information Markov Chain Monte Carlo (MCMC) Sampling Importance Resampling (SIR) System reliability 
Study on segmented distribution for reliability evaluation被引量:4
《Chinese Journal of Aeronautics》2017年第1期310-329,共20页Li Huaiyuan Zuo Hongfu Su Yan Xu Juan Yin Yibing 
supported by the National Natural Science Foundation of China (Nos. 60672164, 60939003, 61079013, 60879001, 90000871);the Special Project about Humanities and Social Sciences in Ministry of Education of China (No. 16JDGC008);National Natural Science Funds and Civil Aviation Mutual Funds (Nos. U1533128 and U1233114);Study On Reusing Sketch User Interface Oriented Design Knowledge (No. 16KJA520003);Six Talent Peaks Project In Jiangsu Province (No. 2016-XYDXXJS-088)
In practice, the failure rate of most equipment exhibits different tendencies at different stages and even its failure rate curve behaves a multimodal trace during its life cycle. As a result,traditionally evaluating ...
关键词:Bayesian estimates Gibbs sampling method Maximum likelihood estima-tion Proximity sensors in leadingedge flap in aircraft Reliability Segmented distribution Weibull distribution 
Lifetime prediction based on Gamma processes from accelerated degradation data被引量:26
《Chinese Journal of Aeronautics》2015年第1期172-179,共8页Wang Haowei Xu Tingxue Mi Qiaoli 
supported by the National Natural Science Foundation of China(No.61273058)
Accelerated degradation test is a useful approach to predict the product lifetime at the normal use stress level, especially for highly reliable products. Two kinds of the lifetime prediction based on Gamma processes ...
关键词:conjugate accelerated prior lifetime Bayesian determining illustrated likelihood acceleration fitting 
A model for discrimination and prediction of mental workload of aircraft cockpit display interface被引量:21
《Chinese Journal of Aeronautics》2014年第5期1070-1077,共8页Wei Zongmin Zhuang Damin Wanyan Xiaoru Liu Chen Zhuang Huan 
supported by the National Basic Research Program of China (No. 2010CB734104)
With respect to the ergonomic evaluation and optimization in the mental task design of the aircraft cockpit display interface, the experimental measurement and theoretical modeling of mental workload were carried out ...
关键词:Bayesian Fisher discrimination Cockpit Display interface Heart rate variability Mental workload NASA_TLX 
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