Fault diagnosis of rolling element bearing using Naïve Bayes classifier
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Publisher
JVE International Ltd.
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http://www.jvejournals.com/Vibro/fulltextpdf/VP-19153.pdf
Reference19 articles.
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3. Wu S. D., Wu C. W., Wu P. H., et al. Bearing fault diagnosis based on multiscale permutation entropy and support vector machine. Third International Conference on Mechanic Automation and Control Engineering, IEEE Computer Society, 2012, p. 2650-2654.
4. Guo X., Chen L., Shen C. Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis. Measurement, Vol. 93, 2016, p. 490-502.
5. Mao W., He J., Li Y., et al. Bearing fault diagnosis with auto-encoder extreme learning machine: A comparative study. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 231, 8, p. 1560-1578.
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