Modeling, analysis, and optimization under uncertainties: a review

E Acar, G Bayrak, Y Jung, I Lee, P Ramu… - Structural and …, 2021 - Springer
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 …

Second-order reliability methods: a review and comparative study

Z Hu, R Mansour, M Olsson, X Du - Structural and multidisciplinary …, 2021 - Springer
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 …

AKSE: A novel adaptive Kriging method combining sampling region scheme and error-based stopping criterion for structural reliability analysis

J Wang, G Xu, Y Li, A Kareem - Reliability Engineering & System Safety, 2022 - Elsevier
The reliability analysis of complex structures usually involves implicit performance function
and expensive-to-evaluate computational models, which pose a great challenge for the …

Efficient structural reliability analysis based on adaptive Bayesian support vector regression

J Wang, C Li, G Xu, Y Li, A Kareem - Computer Methods in Applied …, 2021 - Elsevier
To reduce the computational burden for structural reliability analysis involving complex
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 …

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 …

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 …

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 …

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 …

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 …