Bearing Intelligent Fault Diagnosis Based on Wavelet Transform and Convolutional Neural Network
Joint Authors
Guo, Junfeng
Liu, Xingyu
Li, Shuangxue
Wang, Zhiming
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-07
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
As one of the important parts of modern mechanical equipment, the accurate real-time diagnosis of rolling bearing is particularly important.
Traditional fault diagnosis methods have some disadvantages, such as low diagnostic accuracy and difficult fault feature extraction.
In this paper, a method combining Wavelet transform (WT) and Deformable Convolutional Neural Network (D-CNN) is proposed to realize accurate real-time fault diagnosis of end-to-end rolling bearing.
The vibration signal of rolling bearing is taken as the monitoring target.
Firstly, the Orthogonal Matching Pursuit (OMP) algorithm is used to remove the harmonic signal and retain the impact signal and noise.
Secondly, the time-frequency map of the signal is obtained by time-frequency transform using Wavelet analysis.
Finally, the D-CNN is used for feature extraction and classification.
The experimental results show that the accuracy of the method can reach 99.9% under various fault modes, and it can accurately identify the fault of rolling bearing.
American Psychological Association (APA)
Guo, Junfeng& Liu, Xingyu& Li, Shuangxue& Wang, Zhiming. 2020. Bearing Intelligent Fault Diagnosis Based on Wavelet Transform and Convolutional Neural Network. Shock and Vibration،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1210122
Modern Language Association (MLA)
Guo, Junfeng…[et al.]. Bearing Intelligent Fault Diagnosis Based on Wavelet Transform and Convolutional Neural Network. Shock and Vibration No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1210122
American Medical Association (AMA)
Guo, Junfeng& Liu, Xingyu& Li, Shuangxue& Wang, Zhiming. Bearing Intelligent Fault Diagnosis Based on Wavelet Transform and Convolutional Neural Network. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1210122
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210122