Bearing Fault Diagnosis With Envelope Analysis and Machine Learning Approaches Using CWRU Dataset

Bearing Fault Diagnosis With Envelope Analysis and Machine Learning Approaches Using CWRU Dataset

Predictive maintenance in machines aims to anticipate failures. In rotating machines, the component that suffers the most wear and tear is the bearings. Currently, based on the Industry 4.0 paradigm, advances have been made in obtaining data, specifically, vibration signals that can be used to predi...

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Bibliographic Details
Main Authors: Miguel Alonso-Gonzalez, Vicente Garcia Diaz, Benjamin Lopez Perez, B. Cristina Pelayo G-Bustelo, John Petearson Anzola
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Bearing fault
deep learning
industry 40
machine learning
predictive maintenance
Online Access:https://ieeexplore.ieee.org/document/10145440/

Internet

https://ieeexplore.ieee.org/document/10145440/

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