The Fault Feature Extraction of Rolling Bearing Based on EMD and Difference Spectrum of Singular Value
Joint Authors
Jiang, D. X.
Wang, N. F.
Han, Te
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-31
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Nowadays, the fault diagnosis of rolling bearing in aeroengines is based on the vibration signal measured on casing, instead of bearing block.
However, the vibration signal of the bearing is often covered by a series of complex components caused by other structures (rotor, gears).
Therefore, when bearings cause failure, it is still not certain that the fault feature can be extracted from the vibration signal on casing.
In order to solve this problem, a novel fault feature extraction method for rolling bearing based on empirical mode decomposition (EMD) and the difference spectrum of singular value is proposed in this paper.
Firstly, the vibration signal is decomposed by EMD.
Next, the difference spectrum of singular value method is applied.
The study finds that each peak on the difference spectrum corresponds to each component in the original signal.
According to the peaks on the difference spectrum, the component signal of the bearing fault can be reconstructed.
To validate the proposed method, the bearing fault data collected on the casing are analyzed.
The results indicate that the proposed rolling bearing diagnosis method can accurately extract the fault feature that is submerged in other component signals and noise.
American Psychological Association (APA)
Han, Te& Jiang, D. X.& Wang, N. F.. 2016. The Fault Feature Extraction of Rolling Bearing Based on EMD and Difference Spectrum of Singular Value. Shock and Vibration،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1119406
Modern Language Association (MLA)
Han, Te…[et al.]. The Fault Feature Extraction of Rolling Bearing Based on EMD and Difference Spectrum of Singular Value. Shock and Vibration No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1119406
American Medical Association (AMA)
Han, Te& Jiang, D. X.& Wang, N. F.. The Fault Feature Extraction of Rolling Bearing Based on EMD and Difference Spectrum of Singular Value. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1119406
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1119406