Collaborative Training of Data-Driven Remaining Useful Life Prediction Models Using Federated Learning

Collaborative Training of Data-Driven Remaining Useful Life Prediction Models Using Federated Learning

Remaining useful life prediction models are a central aspect of developing modern and capable prognostics and health management systems. Recently, such models are increasingly data-driven and based on various machine learning techniques, in particular deep neural networks. Such models are notoriousl...

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Bibliographic Details
Main Authors: Wilhelm Söderkvist Vermelin, Madhav Mishra, Mattias P. Eng, Dag Andersson, Konstantinos Kyprianidis
Format: Article
Language:English
Published: The Prognostics and Health Management Society 2024-10-01
Series:International Journal of Prognostics and Health Management
Subjects:
remaining useful life
federated learning
machine learning
prognostics and health management
deep learning
electronics
turbofan jet engines
Online Access:https://papers.phmsociety.org/index.php/ijphm/article/view/3821

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https://papers.phmsociety.org/index.php/ijphm/article/view/3821

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