Data-driven machinery fault diagnosis: A comprehensive review

Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal

Abstract: Highlights•This review explores ML algorithms in MFD, including the under-explored RL.•It assesses diverse MFD methods and extensive dataset usage.•Covers anomaly detection and physics-informed neural networks for MFD.•Covers fault detection, classification, and federated learning methods as well.