Complexity Analysis of Time-Frequency Features for Vibration Signals of Rolling Bearings Based on Local Frequency
Joint Authors
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-10
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The multisource impact signal of rolling bearings often represents nonlinear and nonstationary characteristics, and quantitative description of the complexity of the signal with traditional spectrum analysis methods is difficult to be obtained.
In this study, firstly, a novel concept of local frequency is defined to develop the limitation of traditional frequency.
Then, an adaptive waveform decomposition method is proposed to extract the time-frequency features of nonstationary signals with multicomponents.
Finally, the normalized Lempel–Ziv complexity method is applied to quantitatively measure the time-frequency features of vibration signals of rolling bearings.
The results indicate that the time-frequency features extracted by the proposed method have clear physical meanings and can accurately distinguish the different fault states of rolling bearings.
Furthermore, the normalized Lempel–Ziv complexity method can quantitatively measure the nonlinearity of the multisource impact signal.
So, it supplies an effective basis for fault diagnosis of rolling bearings.
American Psychological Association (APA)
Tang, Youfu& Lin, Feng& Zou, Qian. 2019. Complexity Analysis of Time-Frequency Features for Vibration Signals of Rolling Bearings Based on Local Frequency. Shock and Vibration،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1211493
Modern Language Association (MLA)
Tang, Youfu…[et al.]. Complexity Analysis of Time-Frequency Features for Vibration Signals of Rolling Bearings Based on Local Frequency. Shock and Vibration No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1211493
American Medical Association (AMA)
Tang, Youfu& Lin, Feng& Zou, Qian. Complexity Analysis of Time-Frequency Features for Vibration Signals of Rolling Bearings Based on Local Frequency. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1211493
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1211493