JOURNAL ARTICLE

The fault diagnosis method of rolling bearing under variable working conditions based on deep transfer learning

Shaojiang DongKun HeBaoping Tang

Year: 2020 Journal:   Journal of the Brazilian Society of Mechanical Sciences and Engineering Vol: 42 (11)   Publisher: Springer Science+Business Media
Keywords:
Bearing (navigation) Fault (geology) Feature extraction Vibration Autoencoder Artificial intelligence Pattern recognition (psychology) Frequency domain SIGNAL (programming language) Feature (linguistics) Computer science Engineering Control theory (sociology) Deep learning Computer vision Acoustics

Metrics

31
Cited By
3.08
FWCI (Field Weighted Citation Impact)
32
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Machine Fault Diagnosis Techniques
Physical Sciences →  Engineering →  Control and Systems Engineering
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Engineering Diagnostics and Reliability
Physical Sciences →  Engineering →  Mechanics of Materials
© 2026 ScienceGate Book Chapters — All rights reserved.