A5052432499- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Engineering Diagnostics and Reliability
- Anomaly Detection Techniques and Applications
- Structural Integrity and Reliability Analysis
Ocean University of China
2022-2024
Fault diagnosis for rolling bearing has been an important engineering problem through decades. To detect the damaged surface, engineers analyze features from extracted vibration signals of machine. As artificial intelligence rapidly develops and provides favorable effects in data analytics, using deep learning technology to attack fault problems attracted increasing research interests recent years. However most existing methods do not provide satisfactory performance mining relationship...
Abstract Rolling bearings play an important role in the aerospace industry, manufacturing, and nuclear engineering. To ensure reliable stable operation of various mechanical equipment, research on bearing fault diagnosis is very practical critical. With rapid development smart manufacturing industrial big data, deep learning has become effective solution for emerging identification. Due to different distributions training samples test faults, researchers have introduced many transfer methods...