Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture

Title
Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
Authors
Keywords
C-MAPSS, Deep learning, Genetic algorithm, Prognostics and health management, Remaining useful life, Semi-supervised learning
Journal
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 183, Issue -, Pages 240-251
Publisher
Elsevier BV
Online
2018-11-27
DOI
10.1016/j.ress.2018.11.027

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