Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals

Vibration measurement and monitoring are essential in a wide variety of applications. Vibration measurements are critical for diagnosing industrial machinery malfunctions because they provide information about the condition of the rotating equipment. Vibration analysis is considered the most effecti...

Full description

Saved in:

Bibliographic Details
Published in:	The Artificial intelligence review Vol. 56; no. 5; pp. 4667 - 4709
Main Authors:	Tama, Bayu Adhi, Vania, Malinda, Lee, Seungchul, Lim, Sunghoon
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.05.2023 Springer Springer Nature B.V
Subjects:	Artificial Intelligence Computer Science Condition monitoring Deep learning Fault diagnosis Indexing Learning Machinery Magneto-electric machines Measurement Medical diagnosis Neural networks Physics Predictive maintenance Rotating machinery Technology application Troubleshooting Vibration analysis Vibration measurement Vibration monitoring Deep learning Fault diagnosis Condition monitoring Vibration sensor Vibration signal
ISSN:	0269-2821, 1573-7462
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!