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An Adaptive Spectral Kurtosis Method Based on Optimal Filter
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
As a useful tool to detect protrusion buried in signals, kurtosis has a wide application in engineering, for example, in bearing fault diagnosis.
Spectral kurtosis (SK) can further indicate the presence of a series of transients and their locations in the frequency domain.
The factors influencing kurtosis values are first analyzed, leading to the conclusion that amplitude, not the frequency of signals, and noise make major contribution to kurtosis values.
It is helpful to detect impulsive components if the components with big amplitude are removed from composite signals.
Based on this cognition, an adaptive SK algorithm is proposed in this paper.
The core steps of the proposed SK algorithm are to find maxima, add window around maxima, merge windows in the frequency domain, and then filter signals according to the merged window in the time domain.
The parameters of the proposed SK algorithm are varying adaptively with signals.
Some experimental results are presented to demonstrate the effectiveness of the proposed algorithm.
American Psychological Association (APA)
Yang, Yanli& Yu, Ting. 2017. An Adaptive Spectral Kurtosis Method Based on Optimal Filter. Shock and Vibration،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1204872
Modern Language Association (MLA)
Yang, Yanli& Yu, Ting. An Adaptive Spectral Kurtosis Method Based on Optimal Filter. Shock and Vibration No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1204872
American Medical Association (AMA)
Yang, Yanli& Yu, Ting. An Adaptive Spectral Kurtosis Method Based on Optimal Filter. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1204872
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204872