Intelligent risk identification for drilling lost circulation incidents using data-driven machine learning
S Wu, Y Hu, L Zhang, S Liu, R **e, Z Yin - Reliability Engineering & System …, 2024 - Elsevier
In drilling operations, lost circulation (LC) poses a significant challenge, potentially leading
to severe accidents such as overflow or blowouts if not accurately identified and controlled …
to severe accidents such as overflow or blowouts if not accurately identified and controlled …
A smart system of Mass Personalization Product Service System (MP-PSS) driven by industrial modular configuration
X Zhang, GJ Sheng, LC Chen, XP Lu, X Ming… - Advanced Engineering …, 2024 - Elsevier
With the advancement of industrial intelligence technology, the Mass Personalization (MP)
model is converging with Product Service Systems (PSS) to form a novel large-scale service …
model is converging with Product Service Systems (PSS) to form a novel large-scale service …
A novel deterministic sampling approach for the reliability analysis of high-dimensional structures
Overcoming the “curse of dimensionality” in high-dimensional reliability analysis is still an
enduring challenge. This paper proposes an innovative deterministic sampling method …
enduring challenge. This paper proposes an innovative deterministic sampling method …
On fractional moment estimation from polynomial chaos expansion
Fractional statistical moments are utilized for various tasks of uncertainty quantification,
including the estimation of probability distributions. However, an estimation of fractional …
including the estimation of probability distributions. However, an estimation of fractional …
A new fully decoupled strategy for reliability optimization based on adaptive Kriging with improved efficient global optimization and weighted K-means clustering
H Song, H Lin, C Zhou, L Li, Z Yue - Mechanical Systems and Signal …, 2025 - Elsevier
Reliability-based design optimization (RBDO) is regarded as a more systematic approach to
structural design that seamlessly combines reliability and design for optimization. However …
structural design that seamlessly combines reliability and design for optimization. However …
Distribution reconstruction and reliability assessment of complex LSFs via an adaptive Non-parametric Density Estimation Method
Q Yu, J Xu - Reliability Engineering & System Safety, 2025 - Elsevier
Complex limit state functions (LSFs), often characterized by strong nonlinearity, non-
smoothness, or discontinuity, pose challenges for structural reliability analysis in …
smoothness, or discontinuity, pose challenges for structural reliability analysis in …
Dual Power Transformation and Yeo–Johnson Techniques for Static and Dynamic Reliability Assessments
L Bao-Hua, Z Long-Wen, W Yi-Qiang, C Chen - Buildings, 2024 - search.proquest.com
This paper addresses key challenges in the static and dynamic reliability analysis of
engineering structures, particularly the difficulty in accurately estimating large reliability …
engineering structures, particularly the difficulty in accurately estimating large reliability …
Adaptive Ensemble Model-Based Approach for Estimating Failure Probability Function Using Global Error Measures with Application in Reliability Optimization
H Song, H Lin, C Zhou, L Li, Z Yue - Available at SSRN 4997800 - papers.ssrn.com
The failure probability of structure associated with random input design parameter is defined
as the failure probability function (FPF), which is commonly essential for reliability-based …
as the failure probability function (FPF), which is commonly essential for reliability-based …
A New Decoupled Strategy for Reliability Optimization Based on Adaptive Kriging with Improved Efficient Global Optimization and Weighted K-Means Clustering
H Song, H Lin, H Zhang, L Li, Z Yue - Available at SSRN 4912126 - papers.ssrn.com
Reliability-based design optimization (RBDO) is regarded as a more systematic approach to
structural design, integrating both reliability and optimization considerations. However, the …
structural design, integrating both reliability and optimization considerations. However, the …
Novel Symmetric Divergence Based Importance Measures for Engineering Simulation Models Under Uncertainty
W Li, X Wang, H Li - Hongshuang, Novel Symmetric Divergence Based … - papers.ssrn.com
Uncertainty importance assessment of engineering simulation models is the process of
determining how the output uncertainty can be apportioned to various sources of uncertainty …
determining how the output uncertainty can be apportioned to various sources of uncertainty …