Design, Optimization and Improvement of FBG Flexible Sensor for Slope Displacement Profiles Measurement
The accurate measurement of slope displacement profiles using a fiber Bragg grating flexible sensor is limited due to the influence of accumulative measurement errors. The measurement errors vary with the deformation forms of the sensor, which dramatically affects the measurement accuracy of the slo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749239/ https://www.ncbi.nlm.nih.gov/pubmed/31480239 http://dx.doi.org/10.3390/s19173750 |
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author | Tian, Changbin Wang, Zhengfang Sui, Qingmei Wang, Jing Dong, Yanan |
author_facet | Tian, Changbin Wang, Zhengfang Sui, Qingmei Wang, Jing Dong, Yanan |
author_sort | Tian, Changbin |
collection | PubMed |
description | The accurate measurement of slope displacement profiles using a fiber Bragg grating flexible sensor is limited due to the influence of accumulative measurement errors. The measurement errors vary with the deformation forms of the sensor, which dramatically affects the measurement accuracy of the slope displacement profiles. To tackle the limitations and improve the measurement precision of displacement profiles, a segmental correction method based on strain increments clustering was proposed. A K-means clustering algorithm was used to automatically identify the deformation segments of a flexible sensor with different bending shapes. Then, the particle swarm optimization method was adopted to determine the correction coefficients corresponding to different deformation segments. Both finite element simulations and experiments were performed to validate the superiority of the proposed method. The experimental results indicated that the mean absolute errors (MAEs) percentages of the reconstructed displacements using the proposed method for six different bending shapes were 1.87%, 5.28%, 6.98%, 7.62%, 4.16% and 8.31%, respectively, which had improved the accuracy by 26.83%, 18.94%, 29.49%, 26.35%, 7.39%, and 19.65%, respectively. Therefore, it was confirmed that the proposed correction method was competent for effectively mitigating the measurement errors and improving the measurement accuracy of slope displacement profiles, and it presented a vital significance and application promotion value. |
format | Online Article Text |
id | pubmed-6749239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67492392019-09-27 Design, Optimization and Improvement of FBG Flexible Sensor for Slope Displacement Profiles Measurement Tian, Changbin Wang, Zhengfang Sui, Qingmei Wang, Jing Dong, Yanan Sensors (Basel) Article The accurate measurement of slope displacement profiles using a fiber Bragg grating flexible sensor is limited due to the influence of accumulative measurement errors. The measurement errors vary with the deformation forms of the sensor, which dramatically affects the measurement accuracy of the slope displacement profiles. To tackle the limitations and improve the measurement precision of displacement profiles, a segmental correction method based on strain increments clustering was proposed. A K-means clustering algorithm was used to automatically identify the deformation segments of a flexible sensor with different bending shapes. Then, the particle swarm optimization method was adopted to determine the correction coefficients corresponding to different deformation segments. Both finite element simulations and experiments were performed to validate the superiority of the proposed method. The experimental results indicated that the mean absolute errors (MAEs) percentages of the reconstructed displacements using the proposed method for six different bending shapes were 1.87%, 5.28%, 6.98%, 7.62%, 4.16% and 8.31%, respectively, which had improved the accuracy by 26.83%, 18.94%, 29.49%, 26.35%, 7.39%, and 19.65%, respectively. Therefore, it was confirmed that the proposed correction method was competent for effectively mitigating the measurement errors and improving the measurement accuracy of slope displacement profiles, and it presented a vital significance and application promotion value. MDPI 2019-08-30 /pmc/articles/PMC6749239/ /pubmed/31480239 http://dx.doi.org/10.3390/s19173750 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 Tian, Changbin Wang, Zhengfang Sui, Qingmei Wang, Jing Dong, Yanan Design, Optimization and Improvement of FBG Flexible Sensor for Slope Displacement Profiles Measurement |
title | Design, Optimization and Improvement of FBG Flexible Sensor for Slope Displacement Profiles Measurement |
title_full | Design, Optimization and Improvement of FBG Flexible Sensor for Slope Displacement Profiles Measurement |
title_fullStr | Design, Optimization and Improvement of FBG Flexible Sensor for Slope Displacement Profiles Measurement |
title_full_unstemmed | Design, Optimization and Improvement of FBG Flexible Sensor for Slope Displacement Profiles Measurement |
title_short | Design, Optimization and Improvement of FBG Flexible Sensor for Slope Displacement Profiles Measurement |
title_sort | design, optimization and improvement of fbg flexible sensor for slope displacement profiles measurement |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749239/ https://www.ncbi.nlm.nih.gov/pubmed/31480239 http://dx.doi.org/10.3390/s19173750 |
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