Special Issue on Applications of Machine Learning in Maintenance Engineering and Management (IFAC AMEST 2020)
ISSN:
0941-0643 (Print)
1433-3058 (Online)
In this topical collection (6 articles)
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S.I.: Applications of Machine Learning in Maintenance Engineering and Management (IFAC AMEST 2020)
A prediction-based cycle life test optimization method for cross-formula batteries using instance transfer and variable-length-input deep learning model
Pages 2947-2971 -
S.I: Applications of Machine Learning in Maintenance Engineering and Management (IFAC AMEST 2020)
A machine learning-based clustering approach to diagnose multi-component degradation of aircraft fuel systems
Pages 2973-2989 -
S.I.: Applications of Machine Learning in Maintenance Engineering and Management (IFAC AMEST 2020)
A rare failure detection model for aircraft predictive maintenance using a deep hybrid learning approach
Pages 2991-3009 -
S.I.: Applications of Machine Learning in Maintenance Engineering and Management (IFAC AMEST 2020)
Weibull recurrent neural networks for failure prognosis using histogram data
Pages 3011-3024 -
S.I.: Applications of Machine Learning in Maintenance Engineering and Management (IFAC AMEST 2020)
XGBoost based residual life prediction in the presence of human error in maintenance
Pages 3025-3039
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