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Comparative Analysis of Deep Learning and Decision Tree Approaches for Predicting Aircraft Engine Remaining Useful Life

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Published in:Fatigue of Aircraft Structures
Format: Online Article RSS Article
Published: 2024
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container_title Fatigue of Aircraft Structures
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:12031
institution FRELIP
journal_source_facet Fatigue of Aircraft Structures
publishDate 2024
publishDateSort 2024
record_format rss_article
spellingShingle Comparative Analysis of Deep Learning and Decision Tree Approaches for Predicting Aircraft Engine Remaining Useful Life
Aeronautics and space flight
Aerospace & Aeronautical
Engineering & Technology
sub_discipline_display Aerospace & Aeronautical
sub_discipline_facet Aerospace & Aeronautical
subject_display Aeronautics and space flight
Aerospace & Aeronautical
Engineering & Technology
Aeronautics and space flight
Aerospace & Aeronautical
Engineering & Technology
subject_facet Aeronautics and space flight
Aerospace & Aeronautical
Engineering & Technology
title Comparative Analysis of Deep Learning and Decision Tree Approaches for Predicting Aircraft Engine Remaining Useful Life
title_auth Comparative Analysis of Deep Learning and Decision Tree Approaches for Predicting Aircraft Engine Remaining Useful Life
title_full Comparative Analysis of Deep Learning and Decision Tree Approaches for Predicting Aircraft Engine Remaining Useful Life
title_fullStr Comparative Analysis of Deep Learning and Decision Tree Approaches for Predicting Aircraft Engine Remaining Useful Life
title_full_unstemmed Comparative Analysis of Deep Learning and Decision Tree Approaches for Predicting Aircraft Engine Remaining Useful Life
title_short Comparative Analysis of Deep Learning and Decision Tree Approaches for Predicting Aircraft Engine Remaining Useful Life
title_sort comparative analysis of deep learning and decision tree approaches for predicting aircraft engine remaining useful life
topic Aeronautics and space flight
Aerospace & Aeronautical
Engineering & Technology
url https://sciendo.com/article/10.2478/fas-2023-0012