Improved Bearing Fault Diagnosis by Feature Extraction Based on GLCM, Fusion of Selection Methods, and Multiclass-Naïve Bayes Classification

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ISSN Print: 2159-4465
ISSN Online: 2159-4481
www.scirp.org/journal/jsip
E-mail: jsip@scirp.org

"Improved Bearing Fault Diagnosis by Feature Extraction Based on GLCM, Fusion of Selection Methods, and Multiclass-Naïve Bayes Classification"
written by Mireille Pouyap, Laurent Bitjoka, Etienne Mfoumou, Denis Toko,
published by Journal of Signal and Information Processing, Vol.12 No.4, 2021

has been cited by the following article(s):

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[1]	Implementation of Network Data Mining Algorithm for Associated Users Based on Multi-Information Fusion Journal of Sensors, 2022 DOI:10.1155/2022/3350997

[2]	Real-Time Condition Monitoring of Multi-Component High Torque Helical Gearbox in Coal Handling Belt Conveyor System Using Machine Learning – A Statistical Approach SAE Technical Paper Series, 2022 DOI:10.4271/2022-28-0529

[3]	Real-Time Condition Monitoring of Multi-Component High Torque Helical Gearbox in Coal Handling Belt Conveyor System Using Machine Learning – A Statistical Approach SAE International Journal of Advances and Current Practices in Mobility, 2022 DOI:10.4271/2022-28-0529

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