Wireless Acoustic Emission Sensor Network for Structural Monitoring

Lédeczi, Ákos; Hay, Thomas Robson; Völgyesi, Péter; Hay, D. Robert; Nádas, András; Jayaraman, Subash

doi:10.1109/jsen.2009.2019315

Cited by 70 publications

(43 citation statements)

References 7 publications

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“…Then by comparing the simulation results of different vanishing moments, "db5" is chose as the mother wavelet. According to the SNRs of wavelet coefficients, 3 D and 4 D are chose for the improved SSNF. By simulation, the improved SSNF has better performance in denoising compared with SSNFB.…”

Section: Discussionmentioning

confidence: 99%

An Improved Spatially Selective Noise Filtration for Real-time Denoising of Acoustic Emission Signal

Jian¹,

Li²,

Sun³

et al. 2015

IJSIP

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Section: Discussionmentioning

confidence: 99%

An Improved Spatially Selective Noise Filtration for Real-time Denoising of Acoustic Emission Signal

Jian¹,

Li²,

Sun³

et al. 2015

IJSIP

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“…This multi-channel, high-bandwidth, real-time signal processing task requires significant computational resources, which can be met with parallel architectures while staying within the limited power budget. Systems with similar requirements have used SRAM and Flash-based FPGA devices [14,7,15]. Alternately, the PSoC mixed-signal platform [4] is also a possible candidate for such tasks.…”

Section: System Architecturementioning

confidence: 99%

Acoustic shockwave-based bearing estimation

Sallai

Völgyesi

Lédeczi

et al. 2013

Proceedings of the 12th International Conference on Information Processing in Sensor Networks

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The paper presents a smartphone-based shooter localization system. As muzzle blasts are difficult to detect at longer distances and consequently present higher false detection rates, the system relies on shockwaves only. Each sensor uses four microphones to detect the Angle of Arrival and the length of the shockwave. This information, along with the sensor's own GPS coordinates, are shared among nearby smartphones. Assuming a known weapon type, it then proceeds to estimate the two possible projectile trajectory candidates for each sensor that are consistent with the observations in the horizontal plane of the sensors. A simple clustering algorithm identifies the correct projectile trajectory relying on as few as two sensors. The trajectory is then used to estimate the bearing to the shooter relative to each sensor. The paper presents the overall system architecture, the design of the sensor node that interfaces with the smartphone, the trajectory and bearing estimation algorithms, and the evaluation of the system based on a field experiment.

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“…Many of these systems have been deployed for a variety of applications: measuring light intensity under foliage (LUSTER [12]), performing detailed studies of a Redwood tree [13], monitoring cattle (Flecks [14]), measuring high-altitude environmental data (PermaSense [3]), and monitoring fatigue in bridges [5]. While not for a specific application, some platforms provide large scale deployment for basic networking research such as the Trio Testbed which had nearly 600 Motes [4].…”

Section: Related Workmentioning

confidence: 99%

Using a multi-functional sensor network platform for large-scale applications to ground, air, and water tasks

Basha¹,

Detweiler²,

Doniec³

et al. 2010

Proceedings of the 6th Workshop on Hot Topics in Embedded Networked Sensors

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We present a modular sensor network platform capable of supporting a wide range of applications. We developed a platform to support a broad spectrum of scenarios, instantiating our system for applications on the ground, in the water, and in the air. Our system has operated in the field for over 240 days with month long continuous deployments, measuring positions, temperatures, pressures, and rainfall, while computing cattle behaviors, event locations, and future river level. We use this experimental experience to discuss the lessons learned in designing and using a modular and multi-functional system.

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Wireless Acoustic Emission Sensor Network for Structural Monitoring

Cited by 70 publications

References 7 publications

An Improved Spatially Selective Noise Filtration for Real-time Denoising of Acoustic Emission Signal

An Improved Spatially Selective Noise Filtration for Real-time Denoising of Acoustic Emission Signal

Acoustic shockwave-based bearing estimation

Using a multi-functional sensor network platform for large-scale applications to ground, air, and water tasks

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