Image-Processing-Based Intelligent Defect Diagnosis of Rolling Element Bearings Using Spectrogram Images

Image-Processing-Based Intelligent Defect Diagnosis of Rolling Element Bearings Using Spectrogram Images

Due to the excellent image recognition characteristics of convolutional neural networks (CNN), they have gained significant attention among researchers for image-processing-based defect diagnosis tasks. The use of deep CNN models for rolling element bearings’ (REBs’) defect diagnosis may be computat...

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Bibliographic Details
Main Authors: Syed Muhammad Tayyab, Steven Chatterton, Paolo Pennacchi
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Machines
Subjects:
rolling element bearings
image processing
intelligent defect diagnosis
artificial neural network (ANN)
convolutional neural network (CNN)
K-nearest neighbor (KNN)
Online Access:https://www.mdpi.com/2075-1702/10/10/908

Internet

https://www.mdpi.com/2075-1702/10/10/908

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