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Fusion of Audio and Vibration Signals for Bearing Fault Diagnosis Based on a Quadratic Convolution Neural Network
In this paper, a quadratic convolution neural network (QCNN) using both audio and vibration signals is utilized for bearing fault diagnosis. Specifically, to make use of multi-modal information for bearing fault diagnosis, the audio and vibration signals are first fused together using a 1 × 1 convol...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674422/ https://www.ncbi.nlm.nih.gov/pubmed/38005542 http://dx.doi.org/10.3390/s23229155 |
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author | Yan, Jin Liao, Jian-bin Gao, Jin-yi Zhang, Wei-wei Huang, Chao-ming Yu, Hong-liang |
author_facet | Yan, Jin Liao, Jian-bin Gao, Jin-yi Zhang, Wei-wei Huang, Chao-ming Yu, Hong-liang |
author_sort | Yan, Jin |
collection | PubMed |
description | In this paper, a quadratic convolution neural network (QCNN) using both audio and vibration signals is utilized for bearing fault diagnosis. Specifically, to make use of multi-modal information for bearing fault diagnosis, the audio and vibration signals are first fused together using a 1 × 1 convolution. Then, a quadratic convolution neural network is applied for the fusion feature extraction. Finally, a decision module is designed for fault classification. The proposed method utilizes the complementary information of audio and vibration signals, and is insensitive to noise. The experimental results show that the accuracy of the proposed method can achieve high accuracies for both single and multiple bearing fault diagnosis in the noisy situations. Moreover, the combination of two-modal data helps improve the performance under all conditions. |
format | Online Article Text |
id | pubmed-10674422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106744222023-11-13 Fusion of Audio and Vibration Signals for Bearing Fault Diagnosis Based on a Quadratic Convolution Neural Network Yan, Jin Liao, Jian-bin Gao, Jin-yi Zhang, Wei-wei Huang, Chao-ming Yu, Hong-liang Sensors (Basel) Article In this paper, a quadratic convolution neural network (QCNN) using both audio and vibration signals is utilized for bearing fault diagnosis. Specifically, to make use of multi-modal information for bearing fault diagnosis, the audio and vibration signals are first fused together using a 1 × 1 convolution. Then, a quadratic convolution neural network is applied for the fusion feature extraction. Finally, a decision module is designed for fault classification. The proposed method utilizes the complementary information of audio and vibration signals, and is insensitive to noise. The experimental results show that the accuracy of the proposed method can achieve high accuracies for both single and multiple bearing fault diagnosis in the noisy situations. Moreover, the combination of two-modal data helps improve the performance under all conditions. MDPI 2023-11-13 /pmc/articles/PMC10674422/ /pubmed/38005542 http://dx.doi.org/10.3390/s23229155 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yan, Jin Liao, Jian-bin Gao, Jin-yi Zhang, Wei-wei Huang, Chao-ming Yu, Hong-liang Fusion of Audio and Vibration Signals for Bearing Fault Diagnosis Based on a Quadratic Convolution Neural Network |
title | Fusion of Audio and Vibration Signals for Bearing Fault Diagnosis Based on a Quadratic Convolution Neural Network |
title_full | Fusion of Audio and Vibration Signals for Bearing Fault Diagnosis Based on a Quadratic Convolution Neural Network |
title_fullStr | Fusion of Audio and Vibration Signals for Bearing Fault Diagnosis Based on a Quadratic Convolution Neural Network |
title_full_unstemmed | Fusion of Audio and Vibration Signals for Bearing Fault Diagnosis Based on a Quadratic Convolution Neural Network |
title_short | Fusion of Audio and Vibration Signals for Bearing Fault Diagnosis Based on a Quadratic Convolution Neural Network |
title_sort | fusion of audio and vibration signals for bearing fault diagnosis based on a quadratic convolution neural network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674422/ https://www.ncbi.nlm.nih.gov/pubmed/38005542 http://dx.doi.org/10.3390/s23229155 |
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