Zobrazeno 1 - 10
of 1 556
pro vyhledávání: '"Beer, Michael"'
Publikováno v:
Reliability Engineering & System Safety (2024) 110309
Network reliability analysis remains a challenge due to the increasing size and complexity of networks. This paper presents a novel sampling method and an active learning method for efficient and accurate network reliability estimation under node fai
Externí odkaz:
http://arxiv.org/abs/2407.11053
Publikováno v:
Advances in Reliability, Safety and Security 2024, Part 9, pp. 47-56, ISBN 978-83-68136-08-1
Many dynamical systems are subjected to stochastic influences, such as random excitations, noise, and unmodeled behavior. Tracking the system's state and parameters based on a physical model is a common task for which filtering algorithms, such as Ka
Externí odkaz:
http://arxiv.org/abs/2407.02198
Publikováno v:
Engineering Computations, 2024, Vol. 41, Issue 2, pp. 413-437.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-12-2023-0957
Autor:
Ding, Chen, Dang, Chao, Valdebenito, Marcos A., Faes, Matthias G. R., Broggi, Matteo, Beer, Michael
Publikováno v:
Mechanical Systems and Signal Processing 185 (2023) 109775
First-passage probability estimation of high-dimensional nonlinear stochastic systems is a significant task to be solved in many science and engineering fields, but remains still an open challenge. The present paper develops a novel approach, termed
Externí odkaz:
http://arxiv.org/abs/2210.04715
Publikováno v:
Wissenschaftliche Zeitschrift der Technischen Universität Dresden 55(2006)3-4, S. 49 - 53
The assessment of the safety of structures and of the risk of a structural failure under consideration of the consequences of damage or loss increasingly gain in importance from a technical viewpoint as well as from an economic perspective. The quali
Publikováno v:
In Technological Forecasting & Social Change August 2024 205