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Arrival-Time Detection in Wind-Speed Measurement: Wavelet Transform and Bayesian Information Criteria
The time-difference method is a common one for measuring wind speed ultrasonically, and its core is the precise arrival-time determination of the ultrasonic echo signal. However, because of background noise and different types of ultrasonic sensors, it is difficult to measure the arrival time of the...
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/PMC6982878/ https://www.ncbi.nlm.nih.gov/pubmed/31906590 http://dx.doi.org/10.3390/s20010269 |
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author | Zhang, Wei Li, Zhipeng Gao, Xuyang Li, Yanjun Shi, Yibing |
author_facet | Zhang, Wei Li, Zhipeng Gao, Xuyang Li, Yanjun Shi, Yibing |
author_sort | Zhang, Wei |
collection | PubMed |
description | The time-difference method is a common one for measuring wind speed ultrasonically, and its core is the precise arrival-time determination of the ultrasonic echo signal. However, because of background noise and different types of ultrasonic sensors, it is difficult to measure the arrival time of the echo signal accurately in practice. In this paper, a method based on the wavelet transform (WT) and Bayesian information criteria (BIC) is proposed for determining the arrival time of the echo signal. First, the time-frequency distribution of the echo signal is obtained by using the determined WT and rough arrival time. After setting up a time window around the rough arrival time point, the BIC function is calculated in the time window, and the arrival time is determined by using the BIC function. The proposed method is tested in a wind tunnel with an ultrasonic anemometer. The experimental results show that, even in the low-signal-to-noise-ratio area, the deviation between mostly measured values and preset standard values is mostly within 5 μs, and the standard deviation of measured wind speed is within 0.2 m/s. |
format | Online Article Text |
id | pubmed-6982878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69828782020-02-06 Arrival-Time Detection in Wind-Speed Measurement: Wavelet Transform and Bayesian Information Criteria Zhang, Wei Li, Zhipeng Gao, Xuyang Li, Yanjun Shi, Yibing Sensors (Basel) Article The time-difference method is a common one for measuring wind speed ultrasonically, and its core is the precise arrival-time determination of the ultrasonic echo signal. However, because of background noise and different types of ultrasonic sensors, it is difficult to measure the arrival time of the echo signal accurately in practice. In this paper, a method based on the wavelet transform (WT) and Bayesian information criteria (BIC) is proposed for determining the arrival time of the echo signal. First, the time-frequency distribution of the echo signal is obtained by using the determined WT and rough arrival time. After setting up a time window around the rough arrival time point, the BIC function is calculated in the time window, and the arrival time is determined by using the BIC function. The proposed method is tested in a wind tunnel with an ultrasonic anemometer. The experimental results show that, even in the low-signal-to-noise-ratio area, the deviation between mostly measured values and preset standard values is mostly within 5 μs, and the standard deviation of measured wind speed is within 0.2 m/s. MDPI 2020-01-02 /pmc/articles/PMC6982878/ /pubmed/31906590 http://dx.doi.org/10.3390/s20010269 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 Zhang, Wei Li, Zhipeng Gao, Xuyang Li, Yanjun Shi, Yibing Arrival-Time Detection in Wind-Speed Measurement: Wavelet Transform and Bayesian Information Criteria |
title | Arrival-Time Detection in Wind-Speed Measurement: Wavelet Transform and Bayesian Information Criteria |
title_full | Arrival-Time Detection in Wind-Speed Measurement: Wavelet Transform and Bayesian Information Criteria |
title_fullStr | Arrival-Time Detection in Wind-Speed Measurement: Wavelet Transform and Bayesian Information Criteria |
title_full_unstemmed | Arrival-Time Detection in Wind-Speed Measurement: Wavelet Transform and Bayesian Information Criteria |
title_short | Arrival-Time Detection in Wind-Speed Measurement: Wavelet Transform and Bayesian Information Criteria |
title_sort | arrival-time detection in wind-speed measurement: wavelet transform and bayesian information criteria |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982878/ https://www.ncbi.nlm.nih.gov/pubmed/31906590 http://dx.doi.org/10.3390/s20010269 |
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