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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 · 0 citations