Open AccessModeling and fault detection of a turbofan engine by deep-learning approach
Author(s) -
Florence Offole,
Essola Dieudonne,
Fohoue Kennedy,
Kamgua Piam,
Mela Rodrigue,
Issonj Nelson
Publication year - 2022
Publication title -
technium romanian journal of applied sciences and technology
Language(s) - English
Resource type - Journals
ISSN - 2668-778X
DOI - 10.47577/technium.v4i6.7107
Subject(s) - turbofan , component (thermodynamics) , turbojet , computer science , gas compressor , fault (geology) , jet engine , data driven , artificial intelligence , machine learning , reliability engineering , engineering , automotive engineering , aerospace engineering , physics , seismology , geology , thermodynamics
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