An Antinoise Fault Diagnosis Method Based on Multiscale 1DCNN
Joint Authors
Cao, Jie
He, Zhidong
Wang, Jinhua
Yu, Ping
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-14
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The bearing state signal collected by the vibration sensor contains a large amount of environmental noise in actual processes, which leads to a reduction in the accuracy of the convolutional network in identifying bearing faults.
To solve this problem, a one-dimensional convolutional neural network with a multiscale kernel (MSK-1DCNN) is proposed for the classification information enhancement of the input.
A two-layer multiscale convolution structure (MSK) is used at the front of the network.
MSK has five convolutional kernels with different sizes, and those kernels are used to extract features with varying resolutions in the original signal.
In the multiscale convolution structure, the ELU activation function is used instead of the ReLU function to improve the antinoise ability of MSK-1DCNN, also by adding pepper noise to the training set data to destroy the input data and forcing the network to learn more representative features to improve the robustness of the network.
Experimental results illustrate that the improved methods proposed in this paper effectively enhance the diagnostic performance of MSK-1DCNN under intense noise, and the diagnostic accuracy is higher than that of other comparison algorithms.
American Psychological Association (APA)
Cao, Jie& He, Zhidong& Wang, Jinhua& Yu, Ping. 2020. An Antinoise Fault Diagnosis Method Based on Multiscale 1DCNN. Shock and Vibration،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1212651
Modern Language Association (MLA)
Cao, Jie…[et al.]. An Antinoise Fault Diagnosis Method Based on Multiscale 1DCNN. Shock and Vibration No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1212651
American Medical Association (AMA)
Cao, Jie& He, Zhidong& Wang, Jinhua& Yu, Ping. An Antinoise Fault Diagnosis Method Based on Multiscale 1DCNN. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1212651
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212651