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Research on State Recognition Technology of Elevator Traction Machine Based on Modulation Feature Extraction
Vibration signal analysis of the traction machine is an important part of the current rotating machinery state recognition technology, and its feature extraction is the most critical step. In this study, the time-frequency characteristics of the vibration of the traction machine under different elev...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735600/ https://www.ncbi.nlm.nih.gov/pubmed/36501949 http://dx.doi.org/10.3390/s22239247 |
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author | Li, Dongyang Yang, Jianyi Liu, Yong |
author_facet | Li, Dongyang Yang, Jianyi Liu, Yong |
author_sort | Li, Dongyang |
collection | PubMed |
description | Vibration signal analysis of the traction machine is an important part of the current rotating machinery state recognition technology, and its feature extraction is the most critical step. In this study, the time-frequency characteristics of the vibration of the traction machine under different elevator running directions, running speeds and load weights are analyzed. The novel demodulation method based on time-frequency analysis and principal component analysis (DPCA) is used to extract the periodic modulated wave signal. In order to compare different influence of background noise and unknown frequency influence, the Fast Fourier Transform (FFT) and Short Time Fourier Transform (STFT) methods are used to extract the characteristics of the traction machine vibration signal, respectively. Under different load conditions, it is difficult to observe the obvious differences and similarities of the vibration signals of the traction machine by time-frequency method. However, the DPCA demodulation method provides a guarantee for the reliability and accuracy of the state identification of the traction machine. |
format | Online Article Text |
id | pubmed-9735600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97356002022-12-11 Research on State Recognition Technology of Elevator Traction Machine Based on Modulation Feature Extraction Li, Dongyang Yang, Jianyi Liu, Yong Sensors (Basel) Article Vibration signal analysis of the traction machine is an important part of the current rotating machinery state recognition technology, and its feature extraction is the most critical step. In this study, the time-frequency characteristics of the vibration of the traction machine under different elevator running directions, running speeds and load weights are analyzed. The novel demodulation method based on time-frequency analysis and principal component analysis (DPCA) is used to extract the periodic modulated wave signal. In order to compare different influence of background noise and unknown frequency influence, the Fast Fourier Transform (FFT) and Short Time Fourier Transform (STFT) methods are used to extract the characteristics of the traction machine vibration signal, respectively. Under different load conditions, it is difficult to observe the obvious differences and similarities of the vibration signals of the traction machine by time-frequency method. However, the DPCA demodulation method provides a guarantee for the reliability and accuracy of the state identification of the traction machine. MDPI 2022-11-28 /pmc/articles/PMC9735600/ /pubmed/36501949 http://dx.doi.org/10.3390/s22239247 Text en © 2022 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 Li, Dongyang Yang, Jianyi Liu, Yong Research on State Recognition Technology of Elevator Traction Machine Based on Modulation Feature Extraction |
title | Research on State Recognition Technology of Elevator Traction Machine Based on Modulation Feature Extraction |
title_full | Research on State Recognition Technology of Elevator Traction Machine Based on Modulation Feature Extraction |
title_fullStr | Research on State Recognition Technology of Elevator Traction Machine Based on Modulation Feature Extraction |
title_full_unstemmed | Research on State Recognition Technology of Elevator Traction Machine Based on Modulation Feature Extraction |
title_short | Research on State Recognition Technology of Elevator Traction Machine Based on Modulation Feature Extraction |
title_sort | research on state recognition technology of elevator traction machine based on modulation feature extraction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735600/ https://www.ncbi.nlm.nih.gov/pubmed/36501949 http://dx.doi.org/10.3390/s22239247 |
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