Modeling, analysis, and optimization under uncertainties: a review
Abstract Design optimization of structural and multidisciplinary systems under uncertainty
has been an active area of research due to its evident advantages over deterministic design …
has been an active area of research due to its evident advantages over deterministic design …
Second-order reliability methods: a review and comparative study
Second-order reliability methods are commonly used for the computation of reliability,
defined as the probability of satisfying an intended function in the presence of uncertainties …
defined as the probability of satisfying an intended function in the presence of uncertainties …
AKSE: A novel adaptive Kriging method combining sampling region scheme and error-based stopping criterion for structural reliability analysis
The reliability analysis of complex structures usually involves implicit performance function
and expensive-to-evaluate computational models, which pose a great challenge for the …
and expensive-to-evaluate computational models, which pose a great challenge for the …
Efficient structural reliability analysis based on adaptive Bayesian support vector regression
To reduce the computational burden for structural reliability analysis involving complex
numerical models, many adaptive algorithms based on surrogate models have been …
numerical models, many adaptive algorithms based on surrogate models have been …
Wiener-based remaining useful life prediction of rolling bearings using improved Kalman filtering and adaptive modification
Y Li, X Huang, P Ding, C Zhao - Measurement, 2021 - Elsevier
The remaining useful life (RUL) prediction of rolling bearings is a key process for
prognostics and health management (PHM) of machines. In RUL prediction, the wiener …
prognostics and health management (PHM) of machines. In RUL prediction, the wiener …
A double-channel hybrid deep neural network based on CNN and BiLSTM for remaining useful life prediction
C Zhao, X Huang, Y Li, M Yousaf Iqbal - Sensors, 2020 - mdpi.com
In recent years, prognostic and health management (PHM) has played an important role in
industrial engineering. Efficient remaining useful life (RUL) prediction can ensure the …
industrial engineering. Efficient remaining useful life (RUL) prediction can ensure the …
A mesh stiffness method using slice coupling for spur gear pairs with misalignment and lead crown relief
Q Wang, K Xu, T Huai, H Ma, K Wang - Applied Mathematical Modelling, 2021 - Elsevier
The misalignment and lead crown relief make the tooth partial contact along the tooth width
direction, which greatly affects the mesh characteristics. In this paper, a mesh stiffness model …
direction, which greatly affects the mesh characteristics. In this paper, a mesh stiffness model …
Limit state Kriging modeling for reliability-based design optimization through classification uncertainty quantification
X Li, H Zhu, Z Chen, W Ming, Y Cao, W He… - Reliability Engineering & …, 2022 - Elsevier
Reliability-based design optimization (RBDO) plays a vital role in considering the effect of
uncertainties in the optimal design variables on the production reliability. Kriging-assisted …
uncertainties in the optimal design variables on the production reliability. Kriging-assisted …
A wiener-based remaining useful life prediction method with multiple degradation patterns
Y Li, X Huang, T Gao, C Zhao, S Li - Advanced Engineering Informatics, 2023 - Elsevier
Remaining useful life prediction is a critical step in prognostics and health management.
Wiener process has been widely used in RUL prediction studies for degradation modelling …
Wiener process has been widely used in RUL prediction studies for degradation modelling …
Survival signature for reliability evaluation of a multi-state system with multi-state components
J Qin, FPA Coolen - Reliability Engineering & System Safety, 2022 - Elsevier
Survival signature technology has recently attracted increasing attention for its merits on
quantifying reliability of systems with multiple types of components. In order to implement …
quantifying reliability of systems with multiple types of components. In order to implement …