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...

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Vydané v:	Ain Shams Engineering Journal Ročník 14; číslo 4; s. 101945
Hlavní autori:	Hakim, Mohammed, Omran, Abdoulhdi A. Borhana, Ahmed, Ali Najah, Al-Waily, Muhannad, Abdellatif, Abdallah
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 05.04.2023 Elsevier
Predmet:	Deep learning Fault diagnosis Rolling bearing Systematic review Transfer learning Deep learning Fault diagnosis Systematic review Transfer learning Rolling bearing
ISSN:	2090-4479
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