Automated Machine Learning for Remaining Useful Life Predictions-Reference-Cited by-同舟云学术

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Automated Machine Learning for Remaining Useful Life Predictions

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Zöller Marc-André¹,Mauthe Fabian²,Zeiler Peter²,Lindauer Marius³,Huber Marco F.⁴

Affiliation:

1. USU Software AG,Karlsruhe,Germany

2. Esslingen University of Applied Sciences,Esslingen,Germany

3. Institute of Artificial Intelligence, LeibnizUniversity Hannover,Hannover,Germany

4. Institute of Industrial Manufacturing and Management IFF, University of Stuttgart,Department Cyber Cognitive Intelligent (CCI), Fraunhofer IPA,Stuttgart,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10394031.pdf?arnumber=10394031

Reference29 articles.

1. Prognostics and Health Management for Maintenance Practitioners - Review, Implementation and Tools Evaluation

2. Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice

3. Failure Prognosis and Applications—A Survey of Recent Literature

4. Performance Evaluation of Neural Network Architectures on Time Series Condition Data for Remaining Useful Life Prognosis Under Defined Operating Conditions

Cited by 1 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. Physics-Informed Machine Learning for Robust Remaining Useful Life estimation of Power MOSFETs;2024 IEEE International Conference on Prognostics and Health Management (ICPHM);2024-06-17

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