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RISExperimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A rotor-bearing system experiences numerous vibrations during the operation that frequently degrade performance and endanger operational safety. Roller-bearing failure has significant consequences, leading to downtime or ...
An Integrated Dimension Theory and Modulation Signal Bispectrum Technique for Analyzing Bearing Fault in Industrial Fibrizer
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This study investigates the dynamics of roller bearings by utilizing the dimension theory technique to diagnose the bearing clearance faults of revolving machines. The generation of local defects in rotating machines is ...
A Novel Method for Bearing Fault Diagnosis Based on Novel Feature Sets With Machine Learning Technique
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Bearings often experience small and medium raceway damage due to operating and loading conditions, which induces abnormal dynamic behavior. The rotor-bearing system is tested at various conditions, and the influence of ...
Identification and Fault Diagnosis of Rolling Element Bearings Using Dimension Theory and Machine Learning Techniques
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The study presents the classification of bearing fault types occurring in rotating machines using machine learning techniques. Recent condition monitoring demands all-inclusive but precise fault diagnosis for industrial ...