Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring

Farrar, Charles R.; Allen, David W.; Park, Gyuhae; Ball, S.; Masquelier, Michael P.

doi:10.1155/2006/164382

Cited by 32 publications

(29 citation statements)

References 8 publications

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“…The wireless smart sensor technology has advanced significantly over recent years as shown in Fig. 3 (Straser and Kiremidjian, 1998;Lynch et al, 2001 andAoki et al, 2003;Chung et al, 2004;Farrar et al, 2005;Wang et al, 2005). A number of commercial wireless smart sensor prototypes have been also developed for SHM applications.…”

Section: Wireless Smart Sensorsmentioning

confidence: 99%

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Smart sensing, monitoring, and damage detection for civil infrastructures

Yun

Min

2010

KSCE J Civ Eng

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In this paper, recent research and application activities on smart sensing, monitoring, and damage detection for civil infrastructures are briefly introduced. Emphasis is given to the activities in Korea. First, the state of the art in smart sensors technology is reviewed including optical fiber sensors, piezoelectric sensors, and wireless sensors. Then, a brief overview is given to the recent advances in the structural monitoring/damage detection techniques such as ambient vibration-based bridge health evaluation, piezoelectric sensors-based local damage detection, wireless sensor networks and energy harvesting, and wireless power transmission by laser/ optoelectronic devices. Finally, recent collaborative R&D activities on smart structure technologies in Korea are discussed, which have been carried out on test-road bridges, cable-stayed bridges, and railroad bridges, sharing the up-to-date information and promoting the smart sensors and monitoring technologies for applications to civil infrastructures.

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Section: Wireless Smart Sensorsmentioning

confidence: 99%

“…The system is cost-effective and easy to use, yet uniquely capable of measuring dynamic displacement with a high level of resolu- (Lynch et al, 2001), (c) WiMMS (Wang et al, 2005), (d) RIMS (Aoki et al, 2003), (e) Husky (Farrar et al, 2005), (f) DuraNode (Chung et al, 2004)…”

Section: Vision-based Displacement Measurement Systemmentioning

confidence: 99%

Smart sensing, monitoring, and damage detection for civil infrastructures

Yun

Min

2010

KSCE J Civ Eng

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“…Spencer et al [12] provide the state-of-theart review of current "smart sensing" technologies that includes the compiled summaries of wireless work in the SHM field using small, integrated sensor, and processor systems. To implement computationally intensive SHM processes, Farrar et al [15] selected a single board computer coupled with a wireless networking capability as a compact form of true processing power. Finally, researchers are developing hybrid connection network that advantageously combines the wired and wireless networks, as discussed by Dove et al [16].…”

Section: Wireless Decentralized Sensing and Processingmentioning

confidence: 99%

Energy Harvesting for Structural Health Monitoring Sensor Networks

Park¹,

Farrar²,

Todd³

et al. 2007

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This paper reviews the development of energy harvesting for low-power embedded structural health monitoring (SHM) sensing systems. A statistical pattern recognition paradigm for SHM is first presented and the concept of energy harvesting for embedded sensing systems is addressed with respect to the data acquisition portion of this paradigm. Next, various existing and emerging sensing modalities used for SHM and their respective power requirements are summarized followed by a discussion of SHM sensor network paradigms, power requirements for these networks and power optimization strategies. Various approaches to energy harvesting and energy storage are discussed and limitations associated with the current technology are addressed. The paper concludes by defining some future research directions that are aimed at transitioning the concept of energy harvesting for embedded SHM sensing systems from laboratory research to field-deployed engineering prototypes. Finally, it is noted that much of the technology discussed herein is applicable to powering any type of low-power embedded sensing system regardless of the application.

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“…Research in SHM represents an active field encompassing numerous research directions where various state-of-the-art reviews have been reported (Sohn et al 2001, Chang et al 2003, Elgamal et al 2003a, b, Glaser et al 2007, Spencer et al 2007, Liu et al 2006. Mathematical and numerical approaches have been developed for system identification, damage detection and safety assessment (see, for examples, Farrar et al 2005, Koh et al 2006, Koh and Perry 2007, Zhou and Yan 2006and Sohn et al 2004. In addition, the advent of wireless technologies allows for robust monitoring systems, including considerable benefits with respect to decentralized data processing and installation costs (Straser et al 1998, Lynch et al 2002 3/38 Spencer et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Multiagent-Based Collaborative Framework for a Self-Managing Structural Health Monitoring System

Smarsly

Law

Hartmann

2012

J. Comput. Civ. Eng.

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Abstract. The deterioration of civil infrastructure due to ageing, altered requirements, excessive loading or inadequate maintenance underpins the urgent need for reliable and cost-effective monitoring systems. This paper presents a framework for monitoring the condition of civil infrastructure. A self-managing software framework based on multi-agent technology is designed to remotely access and autonomously process collected information about the monitored structure. The distributed software framework ensures automated anomaly detection, supports collaborative diagnostic tools and enhances communications among distributively located users participating in the monitoring activities. The multi-agent framework has been implemented and validated for the monitoring of a 500 kW wind turbine in Germany. The longterm field instrumentation shows the practicability, efficiency, fault-tolerance and robustness of the system for structural health monitoring applications. This research has demonstrated a practical adoption of a multi-agent-based structural health monitoring system for the long-term deployment in the field.

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Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring

Cited by 32 publications

References 8 publications

Smart sensing, monitoring, and damage detection for civil infrastructures

Smart sensing, monitoring, and damage detection for civil infrastructures

Energy Harvesting for Structural Health Monitoring Sensor Networks

Multiagent-Based Collaborative Framework for a Self-Managing Structural Health Monitoring System

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