A Generalized Convolutional Neural Network Model Trained on Simulated Data for Fault Diagnosis in a Wide Range of Bearing Designs

A Generalized Convolutional Neural Network Model Trained on Simulated Data for Fault Diagnosis in a Wide Range of Bearing Designs

Rolling element bearings (REBs) are critical components in rotating machinery and a leading cause of machine failures. Traditional fault detection methods rely on signal processing, but advances in machine learning (ML) and deep learning (DL) have dramatically improved diagnostic accuracy. However,...

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Bibliographic Details
Main Authors: Amirmasoud Kiakojouri, Ling Wang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
bearing fault diagnosis
data scarcity
generalisability
simulated vibration data
convolutional neural network (CNN)
Online Access:https://www.mdpi.com/1424-8220/25/8/2378
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