Automating Reliability Analysis: Data-driven Learning and Analysis of Multistate Fault Trees-Reference-Cited by-同舟云学术

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Automating Reliability Analysis: Data-driven Learning and Analysis of Multistate Fault Trees

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference
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Author:

Lazarova-Molnar Sanja,Niloofar Parisa,Barta Gabor Kevin

Publisher

Research Publishing Services

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A General Framework for Human-in-the-Loop Cognitive Digital Twins;2023 Winter Simulation Conference (WSC);2023-12-10

2. Digital Twins for Energy-Efficient Manufacturing;2023 IEEE International Systems Conference (SysCon);2023-04-17

3. Proxel-Based Simulation of Fault Trees in R;2022 Winter Simulation Conference (WSC);2022-12-11

4. Requirements for Data-Driven Reliability Modeling and Simulation of Smart Manufacturing Systems;2021 Winter Simulation Conference (WSC);2021-12-12

5. Data-Driven Modelling Of Repairable Fault Trees From Time Series Data With Missing Information;2021 Winter Simulation Conference (WSC);2021-12-12

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