Rolling Element Bearing Faults Detection and Classification Technique Using Vibration Signals-Reference-Cited by-同舟云学术

Rolling Element Bearing Faults Detection and Classification Technique Using Vibration Signals

Published:2022-11-01 Issue: Volume: Page:
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Container-title:The 9th International Electronic Conference on Sensors and Applications
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Author:

Mohiuddin Mohammad^ORCID,Islam Md. Saiful

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/27/1/53/pdf

Reference17 articles.

1. Vibration analysis of a sensor-integrated ball bearing;Gao;J. Vib. Acoust.,2000

2. Rolling element bearing fault diagnosis using convolutional neural network and vibration image;Hoang;Cogn. Syst. Res.,2018

3. Rolling element bearing fault diagnosis for rotating machinery using vibration spectrum imaging and convolutional neural networks;Guersi;Int. J. Adv. Manuf. Technol.,2019

4. Rolling element bearing fault diagnosis using wavelet transform;Kankar;Neurocomputing,2011

5. Bearing fault detection by a novel condition-monitoring scheme based on statistical-time features and neural networks;Prieto;IEEE Trans. Ind. Electron.,2013

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