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Load Identification for a Cantilever Beam Based on Fiber Bragg Grating Sensors
Load identification plays an important role in structural health monitoring, which aims at preventing structural failures. In order to identify load for linear systems and nonlinear systems, this paper presents methods to identify load for a cantilever beam based on dynamic strain measurement by Fib...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579550/ https://www.ncbi.nlm.nih.gov/pubmed/28788085 http://dx.doi.org/10.3390/s17081733 |
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author | Song, Xuegang Zhang, Yuexin Liang, Dakai |
author_facet | Song, Xuegang Zhang, Yuexin Liang, Dakai |
author_sort | Song, Xuegang |
collection | PubMed |
description | Load identification plays an important role in structural health monitoring, which aims at preventing structural failures. In order to identify load for linear systems and nonlinear systems, this paper presents methods to identify load for a cantilever beam based on dynamic strain measurement by Fiber Bragg Grating (FBG) sensors. For linear systems, the proposed inverse method consists of Kalman filter with no load terms and a linear estimator. For nonlinear systems, the proposed inverse method consists of cubature Kalman filter (CKF) with no load terms and a nonlinear estimator. In the process of load identification, the state equations of the beam structures are constructed by using the finite element method (FEM). Kalman filter or CKF is used to suppress noise. The residual innovation sequences, gain matrix, and innovation covariance generated by Kalman filter or CKF are used to identify a load. To prove the effectiveness of the proposed method, numerical simulations and experiments of the beam structures are employed and the results show that the method has an excellent performance. |
format | Online Article Text |
id | pubmed-5579550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-55795502017-09-06 Load Identification for a Cantilever Beam Based on Fiber Bragg Grating Sensors Song, Xuegang Zhang, Yuexin Liang, Dakai Sensors (Basel) Article Load identification plays an important role in structural health monitoring, which aims at preventing structural failures. In order to identify load for linear systems and nonlinear systems, this paper presents methods to identify load for a cantilever beam based on dynamic strain measurement by Fiber Bragg Grating (FBG) sensors. For linear systems, the proposed inverse method consists of Kalman filter with no load terms and a linear estimator. For nonlinear systems, the proposed inverse method consists of cubature Kalman filter (CKF) with no load terms and a nonlinear estimator. In the process of load identification, the state equations of the beam structures are constructed by using the finite element method (FEM). Kalman filter or CKF is used to suppress noise. The residual innovation sequences, gain matrix, and innovation covariance generated by Kalman filter or CKF are used to identify a load. To prove the effectiveness of the proposed method, numerical simulations and experiments of the beam structures are employed and the results show that the method has an excellent performance. MDPI 2017-07-28 /pmc/articles/PMC5579550/ /pubmed/28788085 http://dx.doi.org/10.3390/s17081733 Text en © 2017 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 Song, Xuegang Zhang, Yuexin Liang, Dakai Load Identification for a Cantilever Beam Based on Fiber Bragg Grating Sensors |
title | Load Identification for a Cantilever Beam Based on Fiber Bragg Grating Sensors |
title_full | Load Identification for a Cantilever Beam Based on Fiber Bragg Grating Sensors |
title_fullStr | Load Identification for a Cantilever Beam Based on Fiber Bragg Grating Sensors |
title_full_unstemmed | Load Identification for a Cantilever Beam Based on Fiber Bragg Grating Sensors |
title_short | Load Identification for a Cantilever Beam Based on Fiber Bragg Grating Sensors |
title_sort | load identification for a cantilever beam based on fiber bragg grating sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579550/ https://www.ncbi.nlm.nih.gov/pubmed/28788085 http://dx.doi.org/10.3390/s17081733 |
work_keys_str_mv | AT songxuegang loadidentificationforacantileverbeambasedonfiberbragggratingsensors AT zhangyuexin loadidentificationforacantileverbeambasedonfiberbragggratingsensors AT liangdakai loadidentificationforacantileverbeambasedonfiberbragggratingsensors |