Data-Driven Modelling Of Repairable Fault Trees From Time Series Data With Missing Information-Reference-Cited by-同舟云学术

Data-Driven Modelling Of Repairable Fault Trees From Time Series Data With Missing Information

Published:2021-12-12 Issue: Volume: Page:
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Container-title:2021 Winter Simulation Conference (WSC)
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Author:

Niloofar Parisa¹,Lazarova-Molnar Sanja¹

Affiliation:

1. Mærsk Mc-Kinney M⊘ller Institute, University of Southern Denmark,Odense,DENMARK,5230

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9715283/9715284/09715375.pdf?arnumber=9715375

Reference24 articles.

1. Proxel-Based Simulation of Stochastic Petri Nets Containing Immediate Transitions;lazarova-molnar;Electronic Notes in Theoretical Computer Science,2003

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

3. Fault Tree Analysis, Methods, and Applications ߝ A Review

4. Fault Trees from Data: Efficient Learning with an Evolutionary Algorithm

5. Series on Quality, Reliability and Engineering Statistics

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

3. Learning Temporal Truth Tables of Dynamic Fault Trees from Time Series Data on Faults;2023 7th International Conference on System Reliability and Safety (ICSRS);2023-11-22

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