Automated Modal Parameter Estimation by Parallel Processing within Wireless Monitoring Systems

Zimmerman, Andrew T.; Shiraishi, Masashi; Swartz, R. Andrew; Lynch, Jerome P.

doi:10.1061/(asce)1076-0342(2008)14:1(102)

Cited by 137 publications

(101 citation statements)

References 14 publications

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“…Several systems have been proposed in literature which offer different trade-offs among recombination error, energy cost, and damage detection performance. Zimmerman et al [14] implemented automated modal identification for a distributed wireless sensor network and was tested in a balcony of a theater. The method employed recombines partial mode shape data from pairs of nodes to recreate the complete mode shape necessary for damage detection; this strategy would potentially amplify the recombination error if any one of the sensor nodes is unreliable.…”

Section: Related Workmentioning

confidence: 99%

A holistic approach to decentralized structural damage localization using wireless sensor networks

Hackmann

Sun

Castaneda

et al. 2012

Computer Communications

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Wireless sensor networks (WSNs) have become an increasingly compelling platform for Structural Health Monitoring (SHM) applications, since they can be installed relatively inexpensively onto existing infrastructure. Existing approaches to SHM in WSNs typically address computing system issues or structural engineering techniques, but not both in conjunction. In this paper, we propose a holistic approach to SHM that integrates a decentralized computing architecture with the Damage Localization Assurance Criterion algorithm. In contrast to centralized approaches that require transporting large amounts of sensor data to a base station, our system pushes the execution of portions of the damage localization algorithm onto the sensor nodes, reducing communication costs by two orders of magnitude in exchange for moderate additional processing on each sensor. We present a prototype implementation of this system built using the TinyOS operating system running on the Intel Imote2 sensor network platform. Experiments conducted using two different physical structures demonstrate our system's ability to accurately localize structural damage. We also demonstrate that our decentralized approach reduces latency by 65.5% and energy consumption by 64.0% compared to a typical centralized solution.

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Section: Related Workmentioning

confidence: 99%

A holistic approach to decentralized structural damage localization using wireless sensor networks

Hackmann

Sun

Castaneda

et al. 2012

Computer Communications

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“…Much work has been done in this area and some solutions are implemented in commercial software, e.g. by Peeters et al (2006), Andersen et al (2007), and Zimmerman et al (2008). In the implementation used here, an algorithm is employed for the peak picking that only operates using the numerical data of the given spectra.…”

Section: G(f)=u(f)s(f)umentioning

confidence: 99%

Monitoring and Damage Detection in Structural Parts of Wind Turbines

Friedmann¹,

Mayer²,

Koch³

et al. 2011

Fundamental and Advanced Topics in Wind Power

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“…The Narada wireless sensing unit (Swartz, Jung et al 2005;Zimmerman, Shiraishi et al 2008) is developed for both SHM and structural control applications. The design of the Narada wireless sensing unit mainly consists of four modules: sensing interface, computational core, wireless transceiver, and control signal generation.…”

Section: Narada Wireless Sensing Unit and Signal Conditioning Modulementioning

confidence: 99%

“…Furthermore, all relaying nodes along the hopping path have to consume some amount of battery power for transmitting a single packet. This paper investigates the field performance of a prototype wireless sensing unit, namely the Narada system (Swartz, Jung et al 2005;Zimmerman, Shiraishi et al 2008). A highway bridge located in Wayne, New Jersey, USA, is selected as the testbed structure.…”

Section: Introductionmentioning

confidence: 99%

Vibration testing of a steel girder bridge using cabled and wireless sensors

Zhu

Wang

2011

Front. Archit. Civ. Eng. China

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Being able to significantly reduce system installation time and cost, wireless sensing technology has attracted much interest in the structural health monitoring (SHM) community. This paper reports the field application of a wireless sensing system on a 4-span highway bridge located in Wayne, New Jersey in the US. Bridge vibration due to traffic and ambient excitation is measured. To enhance the signal-to-noise ratio, a low-noise high-gain signal conditioning module is developed for the wireless sensing system. Nineteen wireless and nineteen cabled accelerometers are first installed along the sidewalk of two neighboring bridge spans. The performance of the wireless sensing system is compared with the high-precision cabled sensing system. In the next series of testing, sixteen wireless accelerometers are installed under the deck of another bridge span, forming a 4 × 4 array. Operating deflection analysis is successfully conducted using the wireless measurement of traffic and ambient vibrations.

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Automated Modal Parameter Estimation by Parallel Processing within Wireless Monitoring Systems

Cited by 137 publications

References 14 publications

A holistic approach to decentralized structural damage localization using wireless sensor networks

A holistic approach to decentralized structural damage localization using wireless sensor networks

Monitoring and Damage Detection in Structural Parts of Wind Turbines

Vibration testing of a steel girder bridge using cabled and wireless sensors

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