Experimental Vibration Data in Fault Diagnosis: A Machine Learning Approach to Robust Classification of Rotor and Bearing Defects in Rotating Machines

This study builds upon previous research that utilised a vibration-based machine learning (VML) approach for diagnosing rotor-related faults in rotating machinery. The original method used artificial neural networks (ANN) to classify rotor-related faults based on optimised vibration parameters from...

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Bibliographic Details
Main Authors: Khalid M. Almutairi, Jyoti K. Sinha
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/11/10/943