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Reweighting Signal Spectra to Improve Spatial Sensitivity for an Electrostatic Sensor

The ring-shaped electrostatic sensor is a gas–solid flow measurement system, which has a problem of flow profile dependency. To deal with this problem, a method was introduced in this paper, which was to repeatedly use the successive “tails” of the sensor’s overall output power spectrum to identify...

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Detalles Bibliográficos
Autores principales: Zhang, Jianyong, Cheng, Ruixue, Yan, Bing, Abdalla, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891684/
https://www.ncbi.nlm.nih.gov/pubmed/31739515
http://dx.doi.org/10.3390/s19224963
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author Zhang, Jianyong
Cheng, Ruixue
Yan, Bing
Abdalla, Mohamed
author_facet Zhang, Jianyong
Cheng, Ruixue
Yan, Bing
Abdalla, Mohamed
author_sort Zhang, Jianyong
collection PubMed
description The ring-shaped electrostatic sensor is a gas–solid flow measurement system, which has a problem of flow profile dependency. To deal with this problem, a method was introduced in this paper, which was to repeatedly use the successive “tails” of the sensor’s overall output power spectrum to identify elementary frequency components corresponding to the equivalent roping flow streams. From the radial locations of these equivalent flow streams, the decomposed power frequency spectral components were then reweighted accordingly. Through such signal processing, an improved electrostatic sensor spatial sensitivity was achieved without modifying the sensor’s structure. The method of interpolation was presented and discussed, and the effect of velocity profile on the proposed method was evaluated under different velocity profiles.
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spelling pubmed-68916842019-12-12 Reweighting Signal Spectra to Improve Spatial Sensitivity for an Electrostatic Sensor Zhang, Jianyong Cheng, Ruixue Yan, Bing Abdalla, Mohamed Sensors (Basel) Article The ring-shaped electrostatic sensor is a gas–solid flow measurement system, which has a problem of flow profile dependency. To deal with this problem, a method was introduced in this paper, which was to repeatedly use the successive “tails” of the sensor’s overall output power spectrum to identify elementary frequency components corresponding to the equivalent roping flow streams. From the radial locations of these equivalent flow streams, the decomposed power frequency spectral components were then reweighted accordingly. Through such signal processing, an improved electrostatic sensor spatial sensitivity was achieved without modifying the sensor’s structure. The method of interpolation was presented and discussed, and the effect of velocity profile on the proposed method was evaluated under different velocity profiles. MDPI 2019-11-14 /pmc/articles/PMC6891684/ /pubmed/31739515 http://dx.doi.org/10.3390/s19224963 Text en © 2019 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, Jianyong
Cheng, Ruixue
Yan, Bing
Abdalla, Mohamed
Reweighting Signal Spectra to Improve Spatial Sensitivity for an Electrostatic Sensor
title Reweighting Signal Spectra to Improve Spatial Sensitivity for an Electrostatic Sensor
title_full Reweighting Signal Spectra to Improve Spatial Sensitivity for an Electrostatic Sensor
title_fullStr Reweighting Signal Spectra to Improve Spatial Sensitivity for an Electrostatic Sensor
title_full_unstemmed Reweighting Signal Spectra to Improve Spatial Sensitivity for an Electrostatic Sensor
title_short Reweighting Signal Spectra to Improve Spatial Sensitivity for an Electrostatic Sensor
title_sort reweighting signal spectra to improve spatial sensitivity for an electrostatic sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891684/
https://www.ncbi.nlm.nih.gov/pubmed/31739515
http://dx.doi.org/10.3390/s19224963
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