Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kilian Zwirglmaier"'
Publikováno v:
Reliability Engineering & System Safety. 185:533-545
For real-world civil infrastructure systems that consist of a large number of functionally and statistically dependent components, such as transportation systems or water distribution networks, the Bayesian Network (BN) can be a powerful tool for pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d5d009cfdf9cdf3b5d0f601ef8b5227
https://doi.org/10.1016/j.ress.2019.01.007
https://doi.org/10.1016/j.ress.2019.01.007
Publikováno v:
KSCE Journal of Civil Engineering. 22:974-986
Probabilistic analysis of real-world complex systems such as civil infrastructures requires an effective identification of dependence among the input random variables. The correct modelling of such dependence is crucial for the accuracy and efficienc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::293ed9960e427f3742d0ac31e59c4cea
https://doi.org/10.1007/s12205-018-1398-3
https://doi.org/10.1007/s12205-018-1398-3
Autor:
Patrick Gontar, Klaus Bengler, Ludwig Drees, Manfred Mueller, Chong Wang, Carsten Schmidt-Moll, Florian Holzapfel, Kilian Zwirglmaier, Daniel Straub
Publikováno v:
Journal of Air Transport Management. 65:1-10
We present the results of flight simulator experiments (60 runs) with randomly selected airline pilots under realistic operational conditions and discuss them in light of current fuel regulations and potential fuel starvation. The experiments were co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18b06b328129e7fa216d5e32d1fccd67
https://doi.org/10.1016/j.jairtraman.2017.07.003
https://doi.org/10.1016/j.jairtraman.2017.07.003
Publikováno v:
Reliability Engineering & System Safety. 158:117-129
reIn the last decade, Bayesian networks (BNs) have been identified as a powerful tool for human reliability analysis (HRA), with multiple advantages over traditional HRA methods. In this paper we illustrate how BNs can be used to include additional,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7757132f01739a708d34a576041d6c6
https://doi.org/10.1016/j.ress.2016.10.010
https://doi.org/10.1016/j.ress.2016.10.010
Autor:
Daniel Straub, Kilian Zwirglmaier
Publikováno v:
Proceedings of the 29th European Safety and Reliability Conference (ESREL).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8bee9df9a2dad05001e7f9576fbb8b2
https://doi.org/10.3850/978-981-11-2724-3_0828-cd
https://doi.org/10.3850/978-981-11-2724-3_0828-cd
Autor:
Kilian Zwirglmaier, Daniel Straub
Publikováno v:
Reliability Engineering & System Safety. 153:96-109
Discrete Bayesian networks (BNs) can be effective for risk- and reliability assessments, in which probability estimates of (rare) failure events are frequently updated with new information. To solve such reliability problems accurately in BNs, the di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::423489af9af81d3896b829be9d4219e6
https://doi.org/10.1016/j.ress.2016.04.008
https://doi.org/10.1016/j.ress.2016.04.008
Publikováno v:
Probabilistic Engineering Mechanics. 41:89-103
Subset Simulation is an adaptive simulation method that efficiently solves structural reliability problems with many random variables. The method requires sampling from conditional distributions, which is achieved through Markov Chain Monte Carlo (MC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77848be40ed298697928f21834f34001
https://doi.org/10.1016/j.probengmech.2015.06.006
https://doi.org/10.1016/j.probengmech.2015.06.006
Autor:
Kilian Zwirglmaier, Daniel Straub
Publikováno v:
Scopus-Elsevier
Risk, Reliability and Safety: Innovating Theory and Practice
Risk, Reliability and Safety: Innovating Theory and Practice
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ec048a2a1ab87c15d89f2b257b24fc2
http://www.scopus.com/inward/record.url?eid=2-s2.0-85016214486&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85016214486&partnerID=MN8TOARS
