Fully Automated and Robust Cable Tension Estimation of Wireless Sensor Networks System

Accurate estimation of cable tension is crucial for the structural health monitoring of cable-supported structures. Identifying the cable’s force from its vibration data is probably the most widely adopted method of cable tension estimation. According to string theory, the accuracy of estimated cabl...

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Autores principales:	Min Zhang, Huating He, Gengying Li, Haiyang Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	cable tension estimation fully automated wireless sensor networks Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/c6b951054165497d8b0b4b8c331fc5c4
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spelling	oai:doaj.org-article:c6b951054165497d8b0b4b8c331fc5c42021-11-11T19:12:14ZFully Automated and Robust Cable Tension Estimation of Wireless Sensor Networks System10.3390/s212172291424-8220https://doaj.org/article/c6b951054165497d8b0b4b8c331fc5c42021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7229https://doaj.org/toc/1424-8220Accurate estimation of cable tension is crucial for the structural health monitoring of cable-supported structures. Identifying the cable’s force from its vibration data is probably the most widely adopted method of cable tension estimation. According to string theory, the accuracy of estimated cable tension is highly related to identified modal parameters including natural frequencies and frequency order. To alleviate the factors that impact the accuracy of modal parameters when using the peak-picking method in wireless sensor networks, a fully automated and robust identifying method is proposed in this paper. This novel method was implemented on the Xnode wireless sensor system and validated with the data obtained from Jindo Bridge. The experiment results indicate that, through this method, the wireless sensor is able to distinguish the cognizable power spectrum, extract the peaks, eliminate false frequencies and determine frequency orders automatically to estimate cable tension force without any manual intervention or preprocessing. Meanwhile, the results of natural frequencies, corresponding orders and cable tension force obtained from the Xnode system show excellent agreement with the results obtained using the Matlab program method. This demonstrates the effectiveness and reliability of the Xnode estimation system. Furthermore, this method is also appropriate for other high-performance wireless sensor network systems to realize self-identification of cable in long-term monitoring.Min ZhangHuating HeGengying LiHaiyang WangMDPI AGarticlecable tension estimationfully automatedwireless sensor networksChemical technologyTP1-1185ENSensors, Vol 21, Iss 7229, p 7229 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cable tension estimation fully automated wireless sensor networks Chemical technology TP1-1185
spellingShingle	cable tension estimation fully automated wireless sensor networks Chemical technology TP1-1185 Min Zhang Huating He Gengying Li Haiyang Wang Fully Automated and Robust Cable Tension Estimation of Wireless Sensor Networks System
description	Accurate estimation of cable tension is crucial for the structural health monitoring of cable-supported structures. Identifying the cable’s force from its vibration data is probably the most widely adopted method of cable tension estimation. According to string theory, the accuracy of estimated cable tension is highly related to identified modal parameters including natural frequencies and frequency order. To alleviate the factors that impact the accuracy of modal parameters when using the peak-picking method in wireless sensor networks, a fully automated and robust identifying method is proposed in this paper. This novel method was implemented on the Xnode wireless sensor system and validated with the data obtained from Jindo Bridge. The experiment results indicate that, through this method, the wireless sensor is able to distinguish the cognizable power spectrum, extract the peaks, eliminate false frequencies and determine frequency orders automatically to estimate cable tension force without any manual intervention or preprocessing. Meanwhile, the results of natural frequencies, corresponding orders and cable tension force obtained from the Xnode system show excellent agreement with the results obtained using the Matlab program method. This demonstrates the effectiveness and reliability of the Xnode estimation system. Furthermore, this method is also appropriate for other high-performance wireless sensor network systems to realize self-identification of cable in long-term monitoring.
format	article
author	Min Zhang Huating He Gengying Li Haiyang Wang
author_facet	Min Zhang Huating He Gengying Li Haiyang Wang
author_sort	Min Zhang
title	Fully Automated and Robust Cable Tension Estimation of Wireless Sensor Networks System
title_short	Fully Automated and Robust Cable Tension Estimation of Wireless Sensor Networks System
title_full	Fully Automated and Robust Cable Tension Estimation of Wireless Sensor Networks System
title_fullStr	Fully Automated and Robust Cable Tension Estimation of Wireless Sensor Networks System
title_full_unstemmed	Fully Automated and Robust Cable Tension Estimation of Wireless Sensor Networks System
title_sort	fully automated and robust cable tension estimation of wireless sensor networks system
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c6b951054165497d8b0b4b8c331fc5c4
work_keys_str_mv	AT minzhang fullyautomatedandrobustcabletensionestimationofwirelesssensornetworkssystem AT huatinghe fullyautomatedandrobustcabletensionestimationofwirelesssensornetworkssystem AT gengyingli fullyautomatedandrobustcabletensionestimationofwirelesssensornetworkssystem AT haiyangwang fullyautomatedandrobustcabletensionestimationofwirelesssensornetworkssystem
_version_	1718431610492157952

Fully Automated and Robust Cable Tension Estimation of Wireless Sensor Networks System

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