Remaining useful lifetime prediction via deep domain adaptation

•Recurrent Neural Network for domain adaptation of remaining useful life predictions.•Domains are composed of data with different fault modes and operating conditions.•Only sensor information from the target domain is required.•Experiments investigate different combinations of source and target data...

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Bibliographic Details
Published in:Reliability engineering & system safety 2020-03, Vol.195, p.106682, Article 106682
Main Authors: da Costa, Paulo Roberto de Oliveira, Akçay, Alp, Zhang, Yingqian, Kaymak, Uzay
Format: Article
Language:English
Subjects:
Adaptation
Commercial spacecraft
Computer simulation
Condition monitoring
Deep learning
Domain adaptation
Domains
Modular systems
Neural networks
Performance prediction
Prediction models
Propulsion systems
Reliability engineering
Remaining useful lifetime
Transfer learning
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