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Gearbox Fault Identification and Classification with Convolutional Neural Networks
Joint Authors
Li, Chuan
Chen, ZhiQiang
Sanchez, René-Vinicio
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Vibration signals of gearbox are sensitive to the existence of the fault.
Based on vibration signals, this paper presents an implementation of deep learning algorithm convolutional neural network (CNN) used for fault identification and classification in gearboxes.
Different combinations of condition patterns based on some basic fault conditions are considered.
20 test cases with different combinations of condition patterns are used, where each test case includes 12 combinations of different basic condition patterns.
Vibration signals are preprocessed using statistical measures from the time domain signal such as standard deviation, skewness, and kurtosis.
In the frequency domain, the spectrum obtained with FFT is divided into multiple bands, and the root mean square (RMS) value is calculated for each one so the energy maintains its shape at the spectrum peaks.
The achieved accuracy indicates that the proposed approach is highly reliable and applicable in fault diagnosis of industrial reciprocating machinery.
Comparing with peer algorithms, the present method exhibits the best performance in the gearbox fault diagnosis.
American Psychological Association (APA)
Chen, ZhiQiang& Li, Chuan& Sanchez, René-Vinicio. 2015. Gearbox Fault Identification and Classification with Convolutional Neural Networks. Shock and Vibration،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1078100
Modern Language Association (MLA)
Chen, ZhiQiang…[et al.]. Gearbox Fault Identification and Classification with Convolutional Neural Networks. Shock and Vibration No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1078100
American Medical Association (AMA)
Chen, ZhiQiang& Li, Chuan& Sanchez, René-Vinicio. Gearbox Fault Identification and Classification with Convolutional Neural Networks. Shock and Vibration. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1078100
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078100