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Analysis of Vibration and Acoustic Signals for Noncontact Measurement of Engine Rotation Speed
The non-contact measurement of engine speed can be realized by analyzing engine vibration frequency. However, the vibration signal is distorted by harmonics and noise in the measurement. This paper presents a novel method for the measurement of engine rotation speed by using the cross-correlation of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038416/ https://www.ncbi.nlm.nih.gov/pubmed/31991930 http://dx.doi.org/10.3390/s20030683 |
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author | Shan, Xuansheng Tang, Lu Wen, He Martinek, Radek Smulko, Janusz |
author_facet | Shan, Xuansheng Tang, Lu Wen, He Martinek, Radek Smulko, Janusz |
author_sort | Shan, Xuansheng |
collection | PubMed |
description | The non-contact measurement of engine speed can be realized by analyzing engine vibration frequency. However, the vibration signal is distorted by harmonics and noise in the measurement. This paper presents a novel method for the measurement of engine rotation speed by using the cross-correlation of vibration and acoustic signals. This method can enhance the same frequency components in engine vibration and acoustic signal. After cross-correlation processing, the energy centrobaric correction method is applied to estimate the accurate frequency of the engine’s vibration. This method can be implemented with a low-cost embedded system estimating the cross-correlation. Test results showed that this method outperformed the traditional vibration-based measurement method. |
format | Online Article Text |
id | pubmed-7038416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70384162020-03-09 Analysis of Vibration and Acoustic Signals for Noncontact Measurement of Engine Rotation Speed Shan, Xuansheng Tang, Lu Wen, He Martinek, Radek Smulko, Janusz Sensors (Basel) Article The non-contact measurement of engine speed can be realized by analyzing engine vibration frequency. However, the vibration signal is distorted by harmonics and noise in the measurement. This paper presents a novel method for the measurement of engine rotation speed by using the cross-correlation of vibration and acoustic signals. This method can enhance the same frequency components in engine vibration and acoustic signal. After cross-correlation processing, the energy centrobaric correction method is applied to estimate the accurate frequency of the engine’s vibration. This method can be implemented with a low-cost embedded system estimating the cross-correlation. Test results showed that this method outperformed the traditional vibration-based measurement method. MDPI 2020-01-26 /pmc/articles/PMC7038416/ /pubmed/31991930 http://dx.doi.org/10.3390/s20030683 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Shan, Xuansheng Tang, Lu Wen, He Martinek, Radek Smulko, Janusz Analysis of Vibration and Acoustic Signals for Noncontact Measurement of Engine Rotation Speed |
title | Analysis of Vibration and Acoustic Signals for Noncontact Measurement of Engine Rotation Speed |
title_full | Analysis of Vibration and Acoustic Signals for Noncontact Measurement of Engine Rotation Speed |
title_fullStr | Analysis of Vibration and Acoustic Signals for Noncontact Measurement of Engine Rotation Speed |
title_full_unstemmed | Analysis of Vibration and Acoustic Signals for Noncontact Measurement of Engine Rotation Speed |
title_short | Analysis of Vibration and Acoustic Signals for Noncontact Measurement of Engine Rotation Speed |
title_sort | analysis of vibration and acoustic signals for noncontact measurement of engine rotation speed |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038416/ https://www.ncbi.nlm.nih.gov/pubmed/31991930 http://dx.doi.org/10.3390/s20030683 |
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