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RISIdentification 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 ...
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 ...
A Novel Method to Classify Rolling Element Bearing Faults Using K-Nearest Neighbor Machine Learning Algorithm
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A novel method is proposed in this work for the classification of fault in the ball bearings. Applications of K-nearest neighbor (KNN) techniques are increasing, which redefines the state-of-the-art technology for defect ...