Intelligent Wireless Sensors with Application to the Identification of Structural Modal Parameters and Steel Cable Forces: From the Lab to the Field
Wireless sensing systems have been proposed for structural heath monitoring in recent years. While wireless sensors are cost-competitive compared to tethered monitoring systems, their significant merit also lies in their embedded computational capabilities. In this paper, performance of the two embe...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2010-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2010/316023 |
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| _version_ | 1832551741125558272 |
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| author | Y. Lei W. A. Shen Y. Song Y. Wang |
| author_facet | Y. Lei W. A. Shen Y. Song Y. Wang |
| author_sort | Y. Lei |
| collection | DOAJ |
| description | Wireless sensing systems have been proposed for structural heath monitoring in recent years. While wireless sensors are cost-competitive compared to tethered monitoring systems, their significant merit also lies in their embedded computational capabilities. In this paper, performance of the two embedded engineering algorithms, namely the fast Fourier transform and peak-picking algorithm implemented in the wireless sensing nodes codeveloped at Stanford University and the University of Michigan is investigated through laboratory and field experimental studies. Furthermore, the wireless sensor network embedded with the engineering algorithms is adopted for the identification of structural modal parameters and forces in steel bridge cables. Identification results by the embedded algorithms in the intelligent wireless sensors are compared with those obtained by conventional offline analysis of the measured time-history data. Such a comparison serves to validate the effectiveness of the intelligent wireless sensor network. In addition, it is shown that self-interrogation of measurement data based upon the two embedded algorithms in wireless sensor nodes greatly reduces the amount of data to be transmitted by the wireless sensing network. Thus, the intelligent wireless sensors offer scalable network solutions that are power-efficient for the health monitoring of civil infrastructures. |
| format | Article |
| id | doaj-art-7d6162f9b516433f8e0393b637cbba7d |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-7d6162f9b516433f8e0393b637cbba7d2025-02-03T06:00:44ZengWileyAdvances in Civil Engineering1687-80861687-80942010-01-01201010.1155/2010/316023316023Intelligent Wireless Sensors with Application to the Identification of Structural Modal Parameters and Steel Cable Forces: From the Lab to the FieldY. Lei0W. A. Shen1Y. Song2Y. Wang3Department of Civil Engineering, Xiamen University, Xiamen, Fujian 361005, ChinaDepartment of Civil Engineering, Xiamen University, Xiamen, Fujian 361005, ChinaDepartment of Civil Engineering, Xiamen University, Xiamen, Fujian 361005, ChinaSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USAWireless sensing systems have been proposed for structural heath monitoring in recent years. While wireless sensors are cost-competitive compared to tethered monitoring systems, their significant merit also lies in their embedded computational capabilities. In this paper, performance of the two embedded engineering algorithms, namely the fast Fourier transform and peak-picking algorithm implemented in the wireless sensing nodes codeveloped at Stanford University and the University of Michigan is investigated through laboratory and field experimental studies. Furthermore, the wireless sensor network embedded with the engineering algorithms is adopted for the identification of structural modal parameters and forces in steel bridge cables. Identification results by the embedded algorithms in the intelligent wireless sensors are compared with those obtained by conventional offline analysis of the measured time-history data. Such a comparison serves to validate the effectiveness of the intelligent wireless sensor network. In addition, it is shown that self-interrogation of measurement data based upon the two embedded algorithms in wireless sensor nodes greatly reduces the amount of data to be transmitted by the wireless sensing network. Thus, the intelligent wireless sensors offer scalable network solutions that are power-efficient for the health monitoring of civil infrastructures.http://dx.doi.org/10.1155/2010/316023 |
| spellingShingle | Y. Lei W. A. Shen Y. Song Y. Wang Intelligent Wireless Sensors with Application to the Identification of Structural Modal Parameters and Steel Cable Forces: From the Lab to the Field Advances in Civil Engineering |
| title | Intelligent Wireless Sensors with Application to the Identification of Structural Modal Parameters and Steel Cable Forces: From the Lab to the Field |
| title_full | Intelligent Wireless Sensors with Application to the Identification of Structural Modal Parameters and Steel Cable Forces: From the Lab to the Field |
| title_fullStr | Intelligent Wireless Sensors with Application to the Identification of Structural Modal Parameters and Steel Cable Forces: From the Lab to the Field |
| title_full_unstemmed | Intelligent Wireless Sensors with Application to the Identification of Structural Modal Parameters and Steel Cable Forces: From the Lab to the Field |
| title_short | Intelligent Wireless Sensors with Application to the Identification of Structural Modal Parameters and Steel Cable Forces: From the Lab to the Field |
| title_sort | intelligent wireless sensors with application to the identification of structural modal parameters and steel cable forces from the lab to the field |
| url | http://dx.doi.org/10.1155/2010/316023 |
| work_keys_str_mv | AT ylei intelligentwirelesssensorswithapplicationtotheidentificationofstructuralmodalparametersandsteelcableforcesfromthelabtothefield AT washen intelligentwirelesssensorswithapplicationtotheidentificationofstructuralmodalparametersandsteelcableforcesfromthelabtothefield AT ysong intelligentwirelesssensorswithapplicationtotheidentificationofstructuralmodalparametersandsteelcableforcesfromthelabtothefield AT ywang intelligentwirelesssensorswithapplicationtotheidentificationofstructuralmodalparametersandsteelcableforcesfromthelabtothefield |