An optimal selection method for morphological filter’s parameters and its application in bearing fault diagnosis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
http://link.springer.com/content/pdf/10.1007/s12206-016-0208-4.pdf
Reference21 articles.
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3. F. Y. Cong, J. Chen and G. G. Dong, Spectral kurtosis based on AR model for fault diagnosis and condition monitoring of rolling bearing, Journal of Mechanical Science and Technology, 26 (2) (2012) 301–306.
4. P. Maragos and R. W. Schafer, Morphological fi1ters -Part I: Their set theoretic analysis and relation to linear shift invariant filters, IEEE Trans. on ASSP, 35 (8) (1987) 1153–1169.
5. P. Maragos and R. W. Schafer, Morphological fi1ters-Part II: Their relation to median,order-statistic,and stack filters, IEEE Trans on ASSP, 35 (8) (1987) 1170–1184.
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