Fault Diagnosis of Rolling Bearing Based on Wavelet Package Transform and Ensemble Empirical Mode Decomposition
Joint Authors
Zhou, Zude
Chen, Fen
Liu, Quan
Wei, Qin
Source
Advances in Mechanical Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-07
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Rolling bearing is widely used in rotating mechanical system, and its operating state has great influence on accuracy, reliability, and the life of the whole mechanical system.
Therefore, fault diagnosis of rolling bearing is indispensible for the health monitoring in rotating machinery system.
Wavelet package transform (WPT) and envelope demodulation have been common methods in diagnosis of bearing fault, but the precision of diagnostic results is limited by the degree of damages on bearing.
In this paper, a method based on WPT and ensemble empirical mode decomposition (EEMD) is proposed to detect the fault of rolling bearing and solve this problem.
According to simulation and experimental results, it is effective in fault diagnosis of rolling bearing and is better than the method based on WPT and envelope spectrum while the faults get more serious.
American Psychological Association (APA)
Liu, Quan& Chen, Fen& Zhou, Zude& Wei, Qin. 2013. Fault Diagnosis of Rolling Bearing Based on Wavelet Package Transform and Ensemble Empirical Mode Decomposition. Advances in Mechanical Engineering،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-498498
Modern Language Association (MLA)
Liu, Quan…[et al.]. Fault Diagnosis of Rolling Bearing Based on Wavelet Package Transform and Ensemble Empirical Mode Decomposition. Advances in Mechanical Engineering No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-498498
American Medical Association (AMA)
Liu, Quan& Chen, Fen& Zhou, Zude& Wei, Qin. Fault Diagnosis of Rolling Bearing Based on Wavelet Package Transform and Ensemble Empirical Mode Decomposition. Advances in Mechanical Engineering. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-498498
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-498498