A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault Diagnosis
Joint Authors
Cheng, Chun
Li, S. M.
Jiang, Xingxing
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-24
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Vibration signals of the defect rolling element bearings are usually immersed in strong background noise, which make it difficult to detect the incipient bearing defect.
In our paper, the adaptive detection of the multiresonance bands in vibration signal is firstly considered based on variational mode decomposition (VMD).
As a consequence, the novel method for enhancing rolling element bearing fault diagnosis is proposed.
Specifically, the method is conducted by the following three steps.
First, the VMD is introduced to decompose the raw vibration signal.
Second, the one or more modes with the information of fault-related impulses are selected through the kurtosis index.
Third, Multiresolution Teager Energy Operator (MTEO) is employed to extract the fault-related impulses hidden in the vibration signal and avoid the negative value phenomenon of Teager Energy Operator (TEO).
Meanwhile, the physical meaning of MTEO is also discovered in this paper.
In addition, an idea of combining the multiresonance bands is constructed to further enhance the fault-related impulses.
The simulation studies and experimental verifications confirm that the proposed method is effective for identifying the multiresonance bands and enhancing rolling element bearing fault diagnosis by comparing with Hilbert transform, EMD-based demodulation, and fast Kurtogram analysis.
American Psychological Association (APA)
Jiang, Xingxing& Li, S. M.& Cheng, Chun. 2015. A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault Diagnosis. Shock and Vibration،Vol. 2016, no. 2016, pp.1-20.
https://search.emarefa.net/detail/BIM-1119792
Modern Language Association (MLA)
Jiang, Xingxing…[et al.]. A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault Diagnosis. Shock and Vibration No. 2016 (2016), pp.1-20.
https://search.emarefa.net/detail/BIM-1119792
American Medical Association (AMA)
Jiang, Xingxing& Li, S. M.& Cheng, Chun. A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault Diagnosis. Shock and Vibration. 2015. Vol. 2016, no. 2016, pp.1-20.
https://search.emarefa.net/detail/BIM-1119792
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1119792