Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems-Reference-Cited by-同舟云学术

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Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th International Conference on Agents and Artificial Intelligence
language:
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Author:

Balzereit Kaja¹,Maier Alexander¹,Barig Björn²,Hutschenreuther Tino²,Niggemann Oliver³

Affiliation:

1. Fraunhofer IOSB-INA, Fraunhofer Center for Machine Learning, Langenbruch 6, Lemgo and Germany, --- Select a Country ---

2. IMMS GmbH, Ehrenbergstraße 27, Ilmenau and Germany, --- Select a Country ---

3. Fraunhofer IOSB-INA, Fraunhofer Center for Machine Learning, Langenbruch 6, Lemgo, Germany, Institute Industrial IT, OWL University of Applied Sciences, Lemgo and Germany, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 3 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 review of alarm root cause analysis in process industries: Common methods, recent research status and challenges;Chemical Engineering Research and Design;2022-12

2. Machine learning applications in Cyber-Physical Production Systems: a survey;2022 27th International Conference on Automation and Computing (ICAC);2022-09-01

3. Generating Causal Hypotheses for Explaining Black-Box Industrial Processes;2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS);2022-05-24

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