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Digital Fringe Projection-Based Clamping Force Estimation Algorithm for Railway Fasteners

The inspection of railway fasteners to assess their clamping force can be used to evaluate the looseness of the fasteners and improve railway safety. Although there are various methods for inspecting railway fasteners, there is still a need for non-contact, fast inspection without installing additio...

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Autores principales: Fan, Zhengji, Hong, Yingping, Wang, Yunfeng, Niu, Yanan, Zhang, Huixin, Chu, Chengqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051881/
https://www.ncbi.nlm.nih.gov/pubmed/36992010
http://dx.doi.org/10.3390/s23063299
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author Fan, Zhengji
Hong, Yingping
Wang, Yunfeng
Niu, Yanan
Zhang, Huixin
Chu, Chengqun
author_facet Fan, Zhengji
Hong, Yingping
Wang, Yunfeng
Niu, Yanan
Zhang, Huixin
Chu, Chengqun
author_sort Fan, Zhengji
collection PubMed
description The inspection of railway fasteners to assess their clamping force can be used to evaluate the looseness of the fasteners and improve railway safety. Although there are various methods for inspecting railway fasteners, there is still a need for non-contact, fast inspection without installing additional devices on fasteners. In this study, a system that uses digital fringe projection technology to measure the 3D topography of the fastener was developed. This system inspects the looseness through a series of algorithms, including point cloud denoising, coarse registration based on fast point feature histograms (FPFH) features, fine registration based on the iterative closest point (ICP) algorithm, specific region selection, kernel density estimation, and ridge regression. Unlike the previous inspection technology, which can only measure the geometric parameters of fasteners to characterize the tightness, this system can directly estimate the tightening torque and the bolt clamping force. Experiments on WJ-8 fasteners showed a root mean square error of 9.272 N·m and 1.94 kN for the tightening torque and clamping force, demonstrating that the system is sufficiently precise to replace manual measurement and can substantially improve inspection efficiency while evaluating railway fastener looseness.
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spelling pubmed-100518812023-03-30 Digital Fringe Projection-Based Clamping Force Estimation Algorithm for Railway Fasteners Fan, Zhengji Hong, Yingping Wang, Yunfeng Niu, Yanan Zhang, Huixin Chu, Chengqun Sensors (Basel) Article The inspection of railway fasteners to assess their clamping force can be used to evaluate the looseness of the fasteners and improve railway safety. Although there are various methods for inspecting railway fasteners, there is still a need for non-contact, fast inspection without installing additional devices on fasteners. In this study, a system that uses digital fringe projection technology to measure the 3D topography of the fastener was developed. This system inspects the looseness through a series of algorithms, including point cloud denoising, coarse registration based on fast point feature histograms (FPFH) features, fine registration based on the iterative closest point (ICP) algorithm, specific region selection, kernel density estimation, and ridge regression. Unlike the previous inspection technology, which can only measure the geometric parameters of fasteners to characterize the tightness, this system can directly estimate the tightening torque and the bolt clamping force. Experiments on WJ-8 fasteners showed a root mean square error of 9.272 N·m and 1.94 kN for the tightening torque and clamping force, demonstrating that the system is sufficiently precise to replace manual measurement and can substantially improve inspection efficiency while evaluating railway fastener looseness. MDPI 2023-03-21 /pmc/articles/PMC10051881/ /pubmed/36992010 http://dx.doi.org/10.3390/s23063299 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fan, Zhengji
Hong, Yingping
Wang, Yunfeng
Niu, Yanan
Zhang, Huixin
Chu, Chengqun
Digital Fringe Projection-Based Clamping Force Estimation Algorithm for Railway Fasteners
title Digital Fringe Projection-Based Clamping Force Estimation Algorithm for Railway Fasteners
title_full Digital Fringe Projection-Based Clamping Force Estimation Algorithm for Railway Fasteners
title_fullStr Digital Fringe Projection-Based Clamping Force Estimation Algorithm for Railway Fasteners
title_full_unstemmed Digital Fringe Projection-Based Clamping Force Estimation Algorithm for Railway Fasteners
title_short Digital Fringe Projection-Based Clamping Force Estimation Algorithm for Railway Fasteners
title_sort digital fringe projection-based clamping force estimation algorithm for railway fasteners
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051881/
https://www.ncbi.nlm.nih.gov/pubmed/36992010
http://dx.doi.org/10.3390/s23063299
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