Compound Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by MCDK
Joint Authors
Wan, Shuting
Zhang, Xiong
Dou, Longjiang
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-19
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The fast spectrum kurtosis (FSK) algorithm can adaptively identify and select the resonant frequency band and extract the fault feature by the envelope demodulation method.
However, in practical applications, the fault source may be located in different resonant frequency bands; plus in noise interference, the weak side of the compound fault is not easy to be identified by the FSK.
In order to improve the accuracy of fast spectral kurtosis analysis method, a modified method based on maximum correlation kurtosis deconvolution (MCKD) is proposed.
According to the possible fault characteristic frequencies, the period of MCKD is calculated, and the appropriate filter length is selected to filter the original compound fault signal.
In this way, the compound fault located in different resonance bands is separated.
Then, the signal after MCKD filtering is analyzed by FSK.
Through the simulation and experimental analysis, the MCKD can separate the compound fault information in different frequency band and eliminate the noise interference; the FSK can accurately identify the resonance frequency and identify the weak fault characteristics of compound fault.
American Psychological Association (APA)
Wan, Shuting& Zhang, Xiong& Dou, Longjiang. 2018. Compound Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by MCDK. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1208453
Modern Language Association (MLA)
Wan, Shuting…[et al.]. Compound Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by MCDK. Mathematical Problems in Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1208453
American Medical Association (AMA)
Wan, Shuting& Zhang, Xiong& Dou, Longjiang. Compound Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by MCDK. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1208453
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208453