A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations

Rolling bearing fault detection is critical for improving production efficiency and lowering accident rates in complicated mechanical systems, as well as huge monitoring data, posing significant challenges to present fault diagnostic technology. Deep Learning is now an extraordinarily popular resear...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Ain Shams Engineering Journal Jg. 14; H. 4; S. 101945
Hauptverfasser:	Hakim, Mohammed, Omran, Abdoulhdi A. Borhana, Ahmed, Ali Najah, Al-Waily, Muhannad, Abdellatif, Abdallah
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 05.04.2023 Elsevier
Schlagworte:	Deep learning Fault diagnosis Rolling bearing Systematic review Transfer learning Deep learning Fault diagnosis Systematic review Transfer learning Rolling bearing
ISSN:	2090-4479
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!