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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...

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Detalles Bibliográficos
Autores principales: Yan, Jin, Liao, Jian-bin, Gao, Jin-yi, Zhang, Wei-wei, Huang, Chao-ming, Yu, Hong-liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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