ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight Conditions

ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight Conditions

Machine learning prognosis for condition monitoring of safety-critical systems, such as aircraft engines, continually faces challenges of data unavailability, complexity, and drift. Consequently, this paper overcomes these challenges by introducing adaptive deep transfer learning methodologies, stre...

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Bibliographic Details
Main Authors: Tarek Berghout, Mohamed-Djamel Mouss, Leïla-Hayet Mouss, Mohamed Benbouzid
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Aerospace
Subjects:
aircraft engine
deep learning
long short-term memory
new CMAPSS
prognosis
transfer learning
Online Access:https://www.mdpi.com/2226-4310/10/1/10

Internet

https://www.mdpi.com/2226-4310/10/1/10

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