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The Feature Recognition of Motor Noise Based on the Improved EEMD Model
The noise generated by the machine is closely related to the running state of the machine, so the product can be effectively detected by analyzing the noise signal. The noise identification and control methods based on the EEMD model are widely used in motor noise control. However, the EEMD only con...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410936/ https://www.ncbi.nlm.nih.gov/pubmed/36035816 http://dx.doi.org/10.1155/2022/9172719 |
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author | Liao, Qing Li, Long Luo, Jiaqi |
author_facet | Liao, Qing Li, Long Luo, Jiaqi |
author_sort | Liao, Qing |
collection | PubMed |
description | The noise generated by the machine is closely related to the running state of the machine, so the product can be effectively detected by analyzing the noise signal. The noise identification and control methods based on the EEMD model are widely used in motor noise control. However, the EEMD only considers the influence of noise amplitude on the decomposition results, and the added white noise cannot be completely neutralized. In this paper, an improved EEMD method is proposed by analyzing the influence of the maximum frequency on the decomposition results, in which the noise with different maximum frequency and amplitude is added to decompose the signal, and the decomposition effect is judged by the orthogonality coefficient of the decomposition result. Finally, the simulation signal and the measured signal are compared and analyzed, and the results show that the improved EEMD method has some advantages over the original method in suppressing mode confusion and fault diagnosis. |
format | Online Article Text |
id | pubmed-9410936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94109362022-08-26 The Feature Recognition of Motor Noise Based on the Improved EEMD Model Liao, Qing Li, Long Luo, Jiaqi Comput Intell Neurosci Research Article The noise generated by the machine is closely related to the running state of the machine, so the product can be effectively detected by analyzing the noise signal. The noise identification and control methods based on the EEMD model are widely used in motor noise control. However, the EEMD only considers the influence of noise amplitude on the decomposition results, and the added white noise cannot be completely neutralized. In this paper, an improved EEMD method is proposed by analyzing the influence of the maximum frequency on the decomposition results, in which the noise with different maximum frequency and amplitude is added to decompose the signal, and the decomposition effect is judged by the orthogonality coefficient of the decomposition result. Finally, the simulation signal and the measured signal are compared and analyzed, and the results show that the improved EEMD method has some advantages over the original method in suppressing mode confusion and fault diagnosis. Hindawi 2022-08-18 /pmc/articles/PMC9410936/ /pubmed/36035816 http://dx.doi.org/10.1155/2022/9172719 Text en Copyright © 2022 Qing Liao et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liao, Qing Li, Long Luo, Jiaqi The Feature Recognition of Motor Noise Based on the Improved EEMD Model |
title | The Feature Recognition of Motor Noise Based on the Improved EEMD Model |
title_full | The Feature Recognition of Motor Noise Based on the Improved EEMD Model |
title_fullStr | The Feature Recognition of Motor Noise Based on the Improved EEMD Model |
title_full_unstemmed | The Feature Recognition of Motor Noise Based on the Improved EEMD Model |
title_short | The Feature Recognition of Motor Noise Based on the Improved EEMD Model |
title_sort | feature recognition of motor noise based on the improved eemd model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410936/ https://www.ncbi.nlm.nih.gov/pubmed/36035816 http://dx.doi.org/10.1155/2022/9172719 |
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