The Rolling Bearing Fault Feature Extraction Based on the LMD and Envelope Demodulation
Joint Authors
Ma, Jun
Wu, Jiande
Fan, Yugang
Wang, Xiaodong
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Since the working process of rolling bearings is a complex and nonstationary dynamic process, the common time and frequency characteristics of vibration signals are submerged in the noise.
Thus, it is the key of fault diagnosis to extract the fault feature from vibration signal.
Therefore, a fault feature extraction method for the rolling bearing based on the local mean decomposition (LMD) and envelope demodulation is proposed.
Firstly, decompose the original vibration signal by LMD to get a series of production functions (PFs).
Then dispose the envelope demodulation analysis on PF component.
Finally, perform Fourier Transform on the demodulation signals and judge failure condition according to the dominant frequency of the spectrum.
The results show that the proposed method can correctly extract the fault characteristics to diagnose faults.
American Psychological Association (APA)
Ma, Jun& Wu, Jiande& Fan, Yugang& Wang, Xiaodong. 2015. The Rolling Bearing Fault Feature Extraction Based on the LMD and Envelope Demodulation. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1073819
Modern Language Association (MLA)
Ma, Jun…[et al.]. The Rolling Bearing Fault Feature Extraction Based on the LMD and Envelope Demodulation. Mathematical Problems in Engineering No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1073819
American Medical Association (AMA)
Ma, Jun& Wu, Jiande& Fan, Yugang& Wang, Xiaodong. The Rolling Bearing Fault Feature Extraction Based on the LMD and Envelope Demodulation. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1073819
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073819