A decentralized approach to damage localization through smart wireless sensors

Jeong, Minjoong; Koh, Bong-Hwan

doi:10.12989/sss.2009.5.1.043

Cited by 7 publications

(9 citation statements)

References 13 publications

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“…The software is currently under development for synchronization of two separated base stations and expected to be implemented on the 2 nd Jindo Bridge in the near future. The decentralized data aggregation ) and decentralized processing (Jeong and Koh 2009) appropriate to monitoring of the cable-stayed bridge is destined to be implemented with the help of one base station as well.…”

Section: Combination Of Modes From Two Sensor Networkmentioning

confidence: 99%

Structural health monitoring of a cable-stayed bridge using wireless smart sensor technology: data analyses

Cho¹,

Jang

et al. 2010

Smart Structures and Systems

121

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This paper analyses the data collected from the 2 nd Jindo Bridge, a cable-stayed bridge in Korea that is a structural health monitoring (SHM) international test bed for advanced wireless smart sensors network (WSSN) technology. The SHM system consists of a total of 70 wireless smart sensor nodes deployed underneath of the deck, on the pylons, and on the cables to capture the vibration of the bridge excited by traffic and environmental loadings. Analysis of the data is performed in both the time and frequency domains. Modal properties of the bridge are identified using the frequency domain decomposition and the stochastic subspace identification methods based on the output-only measurements, and the results are compared with those obtained from a detailed finite element model. Tension forces for the 10 instrumented stay cables are also estimated from the ambient acceleration data and compared both with those from the initial design and with those obtained during two previous regular inspections. The results of the data analyses demonstrate that the WSSN-based SHM system performs effectively for this cable-stayed bridge, giving direct access to the physical status of the bridge.

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Section: Combination Of Modes From Two Sensor Networkmentioning

confidence: 99%

Structural health monitoring of a cable-stayed bridge using wireless smart sensor technology: data analyses

Cho¹,

Jang

et al. 2010

Smart Structures and Systems

121

View full text Add to dashboard Cite

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“…In earlier research, the collective-information method compares all the x j nodes that are in the neighborhood to determine the master sensor that has the largest ( f i as well as the exclusive authority to transmit sensed data to its neighbors. 12 However, in many cases, the collective-type approach has not been successful in simultaneously localizing multiple instances of damage. Unlike the collective method, the proposed diffusive algorithm equally treats all the sensors and does not require a master sensor.…”

Section: Numerical Simulation Of Multiple-abnormality Trackingmentioning

confidence: 99%

“…Previous study shows that a group of wireless sensor system successfully localized stiffness abnormality in a plate through collective-type local-level sensor communication. 12 Note that we chose the experiments to validate the collective-type (master sensor) method instead of verifying the diffusive-type algorithm because the former requires more complicated programming than the latter. Without loss of generality, we can expect as long as the collective method works, the diffusive-type algorithm should be also implementable.…”

Section: Experiments For Tracking Abnormalitiesmentioning

confidence: 99%

“…Previously, authors proposed a conceptual study of decentralized damage-tracking algorithms that exploit a collaborative process within smart wireless sensors. 12 The present study assumes a situation where a large number of wireless sensors, which have an extremely low duty-cycle, are randomly deployed on a plate-like structure. A clustering technique and simple pairwisecomparison logic, which allow the association of neighboring sensors, are implemented on individual sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

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A feasibility study of damage tracking through the diffusive communication of wireless sensors

Jeong

Bae

Koh

2010

Int. J. Precis. Eng. Manuf.

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The objective of this paper is to investigate the feasibility of wireless sensors in the development of an autonomous structural health monitoring system. A collaborative searching algorithm is developed such that massively deployed wireless sensor nodes in a structure conveniently comprise a group and constitute a damage-surveillance perimeter. Wireless sensors in this perimeter spontaneously activate themselves for damage-tracking tasks by networking with neighboring sensors. When the damage-sensitive parameter that is measured by a sensor node exceeds a certain threshold, the process of damage-tracking begins. The proposed damage-tracking algorithm does not require any type of global control. Instead, sensor-networking and a pairwise-comparison algorithm that is implemented at each sensor node allows collaborative decision-making for tracking the changes, such as local strain, in structural properties. The extant autonomous, damage-tracking algorithms have been demonstrated through only numerical simulations for a single-damage case. Here, the study is further expanded to address the problem of simultaneously tracking multiple instances of damage in three-dimensional space by using improved algorithms for sensor networking. An event-based task-executing functionality of individual sensor nodes is successfully implemented and verified using four wireless strain sensors that are mounted on a cantilevered beam structure. Experimental results reveal that the overall capability of wireless sensor nodes is functional enough to enable a wireless-based autonomous structural health monitoring system.

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“…3,4 As new mobile, [5][6][7][8] heterogeneous, [9][10][11][12] smart, [13][14][15][16] wireless, and distributed [17][18][19][20][21][22] sensing technologies emerge, SHM systems have become more practical, cost-effective, and sustainable not only for laboratory but also for field applications.…”

Section: Introductionmentioning

confidence: 99%

Biomechanically influenced mobile and participatory pedestrian data for bridge monitoring

Feng

2017

International Journal of Distributed Sensor Networks

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Future structural health monitoring systems are evolving toward crowdsourced, autonomous, sustainable forms based on which damage-indicative structural features can be identified. Unlike conventional sensor systems, they serve as nonstationary, mobile, and distributed sensor network components. For example, smartphone sensors carried by pedestrians decouple from the structure of interest, making it difficult to measure structural vibration. Taking bridges as instances, smartphone sensor data contain not only the bridge vibration but also the pedestrians' biomechanical features. In this article, pedestrians' smartphone data are used to conduct force estimation and modal identification for structural health monitoring purposes. Two major pedestrian activities, walking and standing, are adopted to estimate walk-induced forces on structures and identify modal parameters, respectively. First, vibration time history of a walking pedestrian combined with pedestrian weight is a measure of dynamic forces imposed on the structure. Second, standing pedestrian's smartphone sensors provide spectral peaks which are mixtures of structural and biomechanical vibrations. Eliminating biomechanical content reveals structural modal properties which are sensitive to structural integrity. This study presents the first structural health monitoring application recruiting pedestrians in a testbed bridge monitoring example. Orchestrating pervasive and participatory pedestrian data might bring new frontiers to structural health monitoring through a smart, mobile, and urban sensing framework.

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A decentralized approach to damage localization through smart wireless sensors

Cited by 7 publications

References 13 publications

Structural health monitoring of a cable-stayed bridge using wireless smart sensor technology: data analyses

Structural health monitoring of a cable-stayed bridge using wireless smart sensor technology: data analyses

A feasibility study of damage tracking through the diffusive communication of wireless sensors

Biomechanically influenced mobile and participatory pedestrian data for bridge monitoring

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