Aug 2026
Multi-Class Fault Detection and Diagnosis of Rolling Bearings: a Machine Learning Approach
Results show that using statistical vibration features with ensemble classifiers is a good way to diagnose multi-class bearing faults and establishes a comprehensive benchmark for ML- and DL-based rolling bearing FDD.
M. I. Quamar, Abdulrazaq Nafiu Abubakar, Ali Nasir
· Journal of Vibration Enginee... · 0 citations