Detection of Rolling-Element Bearing Faults with Different Conditions
Author:
Affiliation:
1. University of Basrah,College of Engineering,Mechanical Engineering Department,Basrah,Iraq
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10009910/10009912/10010675.pdf?arnumber=10010675
Reference14 articles.
1. Fault diagnosis of roller bearing using parameter evaluation technique and multi-class support vector machine
2. Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
3. Diagnostics 101: A Tutorial for Fault Diagnostics of Rolling Element Bearing Using Envelope Analysis in MATLAB
4. Implementation of envelope analysis on a wireless condition monitoring system for bearing fault diagnosis
5. Comparison between Artificial Neural Network and Support Vector Method for a Fault Diagnostics in Rolling Element Bearings
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1. Cross-domain diagnosis of roller bearing faults based on the envelope analysis adaptive features and artificial neural networks;Journal of Vibration and Control;2023-07-24
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