Deep Neural Network Feature Selection Approaches for Data-Driven Prognostic Model of Aircraft Engines

Deep Neural Network Feature Selection Approaches for Data-Driven Prognostic Model of Aircraft Engines

Predicting Remaining Useful Life (RUL) of systems has played an important role in various fields of reliability engineering analysis, including in aircraft engines. RUL prediction is critically an important part of Prognostics and Health Management (PHM), which is the reliability science that is aim...

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Bibliographic Details
Main Authors: Phattara Khumprom, David Grewell, Nita Yodo
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Aerospace
Subjects:
data-driven
machine learning
deep learning
DNN
feature selection
Prognostic and Health Management
Online Access:https://www.mdpi.com/2226-4310/7/9/132

Internet

https://www.mdpi.com/2226-4310/7/9/132

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