An aero-engine remaining useful life prediction model based on feature selection and the improved TCN

An aero-engine remaining useful life prediction model based on feature selection and the improved TCN

Inferring the remaining useful life (RUL) of an aero-engine based on complex data from aircraft sensors is one of the important issues to ensure flight safety. To this end, this paper is intended to propose a RUL prediction model based on the feature extraction method and the improved temporal convo...

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Bibliographic Details
Main Authors: Wenting Zha, Yunhong Ye
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Franklin Open
Subjects:
CMAPSS
Deep learning
TCN
Time series
Remaining useful life
Online Access:http://www.sciencedirect.com/science/article/pii/S2773186324000148

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