Fault Detection Enhancement in Rolling Element Bearings via Peak-Based Multiscale Decomposition and Envelope Demodulation
Joint Authors
Yuan, Hong-Fang
Cao, Xi
Wang, Hua-Qing
Hou, Wei
Tang, Gang
Zhao, Qing-Liang
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Vibration signals of rolling element bearings faults are usually immersed in background noise, which makes it difficult to detect the faults.
Wavelet-based methods being used commonly can reduce some types of noise, but there is still plenty of room for improvement due to the insufficient sparseness of vibration signals in wavelet domain.
In this work, in order to eliminate noise and enhance the weak fault detection, a new kind of peak-based approach combined with multiscale decomposition and envelope demodulation is developed.
First, to preserve effective middle-low frequency signals while making high frequency noise more significant, a peak-based piecewise recombination is utilized to convert middle frequency components into low frequency ones.
The newly generated signal becomes so smoother that it will have a sparser representation in wavelet domain.
Then a noise threshold is applied after wavelet multiscale decomposition, followed by inverse wavelet transform and backward peak-based piecewise transform.
Finally, the amplitude of fault characteristic frequency is enhanced by means of envelope demodulation.
The effectiveness of the proposed method is validated by rolling bearings faults experiments.
Compared with traditional wavelet-based analysis, experimental results show that fault features can be enhanced significantly and detected easily by the proposed method.
American Psychological Association (APA)
Wang, Hua-Qing& Hou, Wei& Tang, Gang& Yuan, Hong-Fang& Zhao, Qing-Liang& Cao, Xi. 2014. Fault Detection Enhancement in Rolling Element Bearings via Peak-Based Multiscale Decomposition and Envelope Demodulation. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-464026
Modern Language Association (MLA)
Wang, Hua-Qing…[et al.]. Fault Detection Enhancement in Rolling Element Bearings via Peak-Based Multiscale Decomposition and Envelope Demodulation. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-464026
American Medical Association (AMA)
Wang, Hua-Qing& Hou, Wei& Tang, Gang& Yuan, Hong-Fang& Zhao, Qing-Liang& Cao, Xi. Fault Detection Enhancement in Rolling Element Bearings via Peak-Based Multiscale Decomposition and Envelope Demodulation. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-464026
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-464026