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RISOptimized Multiclass Support Vector Machines Using Empirical Features for Compound Fault Diagnosis in Roller Element Bearings
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Taper roller bearings are crucial components in rotating machinery. Undetected faults like pitting, unbalance, and misalignment can degrade performance and cause unexpected failures. Conventional diagnostic ...
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 ...