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Refinado por: assunto: Engineering remover
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Dynamic Bayesian Network for Aircraft Wing Health Monitoring Digital Twin
Dynamic Bayesian Network for Aircraft Wing Health Monitoring Digital Twin
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Dynamic Bayesian Network for Aircraft Wing Health Monitoring Digital Twin

Li, Chenzhao ; Mahadevan, Sankaran ; Ling, You ; Choze, Sergio ; Wang, Liping

AIAA journal, 2017-03, Vol.55 (3), p.930-941 [Periódico revisado por pares]

Virginia: American Institute of Aeronautics and Astronautics

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2
A General Formulation of Linear Power Flow Models: Basic Theory and Error Analysis
A General Formulation of Linear Power Flow Models: Basic Theory and Error Analysis
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A General Formulation of Linear Power Flow Models: Basic Theory and Error Analysis

Yang, Zhifang ; Xie, Kaigui ; Yu, Juan ; Zhong, Haiwang ; Zhang, Ning ; Xia, Qing Xia

IEEE transactions on power systems, 2019-03, Vol.34 (2), p.1315-1324 [Periódico revisado por pares]

New York: IEEE

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3
A block forward substitution method for solving the hypercomplex finite element system of equations
A block forward substitution method for solving the hypercomplex finite element system of equations
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A block forward substitution method for solving the hypercomplex finite element system of equations

Aguirre-Mesa, Andres M. ; Garcia, Manuel J. ; Aristizabal, Mauricio ; Wagner, David ; Ramirez-Tamayo, Daniel ; Montoya, Arturo ; Millwater, Harry

Computer methods in applied mechanics and engineering, 2021-12, Vol.387, p.114195, Article 114195 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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4
Optimization of Dielectric Properties of Pongamia Pinnata Methyl Ester for Power Transformers Using Response Surface Methodology
Optimization of Dielectric Properties of Pongamia Pinnata Methyl Ester for Power Transformers Using Response Surface Methodology
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Optimization of Dielectric Properties of Pongamia Pinnata Methyl Ester for Power Transformers Using Response Surface Methodology

Raj, Raymon Antony ; Murugesan, Srinivasan

IEEE transactions on dielectrics and electrical insulation, 2022-10, Vol.29 (5), p.1931-1939 [Periódico revisado por pares]

New York: IEEE

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5
A combined Importance Sampling and active learning Kriging reliability method for small failure probability with random and correlated interval variables
A combined Importance Sampling and active learning Kriging reliability method for small failure probability with random and correlated interval variables
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A combined Importance Sampling and active learning Kriging reliability method for small failure probability with random and correlated interval variables

Liu, Xiao-Xiao ; Elishakoff, Isaac

Structural safety, 2020-01, Vol.82, p.101875, Article 101875 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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6
Distributed Dynamic Process Monitoring Based on Minimal Redundancy Maximal Relevance Variable Selection and Bayesian Inference
Distributed Dynamic Process Monitoring Based on Minimal Redundancy Maximal Relevance Variable Selection and Bayesian Inference
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Distributed Dynamic Process Monitoring Based on Minimal Redundancy Maximal Relevance Variable Selection and Bayesian Inference

Zhong, Kai ; Han, Min ; Qiu, Tie ; Han, Bing ; Chen, Yen-Wei

IEEE transactions on control systems technology, 2020-09, Vol.28 (5), p.2037-2044 [Periódico revisado por pares]

New York: IEEE

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7
Decentralized PCA modeling based on relevance and redundancy variable selection and its application to large-scale dynamic process monitoring
Decentralized PCA modeling based on relevance and redundancy variable selection and its application to large-scale dynamic process monitoring
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Decentralized PCA modeling based on relevance and redundancy variable selection and its application to large-scale dynamic process monitoring

Xiao, Bing ; Li, Yonggang ; Sun, Bei ; Yang, Chunhua ; Huang, Keke ; Zhu, Hongqiu

Process safety and environmental protection, 2021-07, Vol.151, p.85-100 [Periódico revisado por pares]

Rugby: Elsevier B.V

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8
Generalized F‐discrepancy‐based point selection strategy for dependent random variables in uncertainty quantification of nonlinear structures
Generalized F‐discrepancy‐based point selection strategy for dependent random variables in uncertainty quantification of nonlinear structures
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Generalized F‐discrepancy‐based point selection strategy for dependent random variables in uncertainty quantification of nonlinear structures

Yang, Junyi ; Tao, Jinju ; Sudret, Bruno ; Chen, Jianbing

International journal for numerical methods in engineering, 2020-04, Vol.121 (7), p.1507-1529 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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9
Decorrelation of Neutral Vector Variables: Theory and Applications
Decorrelation of Neutral Vector Variables: Theory and Applications
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Decorrelation of Neutral Vector Variables: Theory and Applications

Zhanyu Ma ; Jing-Hao Xue ; Leijon, Arne ; Zheng-Hua Tan ; Zhen Yang ; Jun Guo

IEEE transaction on neural networks and learning systems, 2018-01, Vol.29 (1), p.129-143

United States: IEEE

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10
Polynomial chaos expansions for dependent random variables
Polynomial chaos expansions for dependent random variables
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Polynomial chaos expansions for dependent random variables

Jakeman, John D. ; Franzelin, Fabian ; Narayan, Akil ; Eldred, Michael ; Plfüger, Dirk

Computer methods in applied mechanics and engineering, 2019-07, Vol.351, p.643-666 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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