Wayside Bearing Fault Diagnosis Based on Envelope Analysis Paved with Time-Domain Interpolation Resampling and Weighted-Correlation-Coefficient-Guided Stochastic Resonance
Joint Authors
Lu, Siliang
Liu, Fang
Liu, Yongbin
Zhao, Jiwen
Qian, Qiang
He, Qingbo
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-04
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Envelope spectrum analysis is a simple, effective, and classic method for bearing fault identification.
However, in the wayside acoustic health monitoring system, owing to the high relative moving speed between the railway vehicle and the wayside mounted microphone, the recorded signal is embedded with Doppler effect, which brings in shift and expansion of the bearing fault characteristic frequency (FCF).
What is more, the background noise is relatively heavy, which makes it difficult to identify the FCF.
To solve the two problems, this study introduces solutions for the wayside acoustic fault diagnosis of train bearing based on Doppler effect reduction using the improved time-domain interpolation resampling (TIR) method and diagnosis-relevant information enhancement using Weighted-Correlation-Coefficient-Guided Stochastic Resonance (WCCSR) method.
First, the traditional TIR method is improved by incorporating the original method with kinematic parameter estimation based on time-frequency analysis and curve fitting.
Based on the estimated parameters, the Doppler effect is removed using the TIR easily.
Second, WCCSR is employed to enhance the diagnosis-relevant period signal component in the obtained Doppler-free signal.
Finally, paved with the above two procedures, the local fault is identified using envelope spectrum analysis.
Simulated and experimental cases have verified the effectiveness of the proposed method.
American Psychological Association (APA)
Liu, Yongbin& Qian, Qiang& Liu, Fang& Lu, Siliang& He, Qingbo& Zhao, Jiwen. 2017. Wayside Bearing Fault Diagnosis Based on Envelope Analysis Paved with Time-Domain Interpolation Resampling and Weighted-Correlation-Coefficient-Guided Stochastic Resonance. Shock and Vibration،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1204248
Modern Language Association (MLA)
Liu, Yongbin…[et al.]. Wayside Bearing Fault Diagnosis Based on Envelope Analysis Paved with Time-Domain Interpolation Resampling and Weighted-Correlation-Coefficient-Guided Stochastic Resonance. Shock and Vibration No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1204248
American Medical Association (AMA)
Liu, Yongbin& Qian, Qiang& Liu, Fang& Lu, Siliang& He, Qingbo& Zhao, Jiwen. Wayside Bearing Fault Diagnosis Based on Envelope Analysis Paved with Time-Domain Interpolation Resampling and Weighted-Correlation-Coefficient-Guided Stochastic Resonance. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1204248
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204248