Fault Diagnosis of Train Axle Box Bearing Based on Multifeature Parameters
Joint Authors
Jia, Li-min
Li, Xiaofeng
Yang, Xin
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-22
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Failure of the train axle box bearing will cause great loss.
Now, condition-based maintenance of train axle box bearing has been a research hotspot around the world.
Vibration signals generated by train axle box bearing have nonlinear and nonstationary characteristics.
The methods used in traditional bearing fault diagnosis do not work well with the train axle box.
To solve this problem, an effective method of axle box bearing fault diagnosis based on multifeature parameters is presented in this paper.
This method can be divided into three parts, namely, weak fault signal extraction, feature extraction, and fault recognition.
In the first part, a db4 wavelet is employed for denoising the original signals from the vibration sensors.
In the second part, five time-domain parameters, five IMF energy-torque features, and two amplitude-ratio features are extracted.
The latter seven frequency domain features are calculated based on the empirical mode decomposition and envelope spectrum analysis.
In the third part, a fault classifier based on BP neural network is designed for automatic fault pattern recognition.
A series of tests are carried out to verify the proposed method, which show that the accuracy is above 90%.
American Psychological Association (APA)
Li, Xiaofeng& Jia, Li-min& Yang, Xin. 2015. Fault Diagnosis of Train Axle Box Bearing Based on Multifeature Parameters. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1060788
Modern Language Association (MLA)
Li, Xiaofeng…[et al.]. Fault Diagnosis of Train Axle Box Bearing Based on Multifeature Parameters. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1060788
American Medical Association (AMA)
Li, Xiaofeng& Jia, Li-min& Yang, Xin. Fault Diagnosis of Train Axle Box Bearing Based on Multifeature Parameters. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1060788
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1060788