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49
Fidelity and yield in a volcano monitoring sensor network
- In Proc. 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2006
, 2006
"... We present a science-centric evaluation of a 19-day sensor network deployment at Reventador, an active volcano in Ecuador. Each of the 16 sensors continuously sampled seismic and acoustic data at 100 Hz. Nodes used an event-detection algorithm to trigger on interesting volcanic activity and initiate ..."
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We present a science-centric evaluation of a 19-day sensor network deployment at Reventador, an active volcano in Ecuador. Each of the 16 sensors continuously sampled seismic and acoustic data at 100 Hz. Nodes used an event-detection algorithm to trigger on interesting volcanic activity and initiate reliable data transfer to the base station. During the deployment, the network recorded 229 earthquakes, eruptions, and other seismoacoustic events. The science requirements of reliable data collection, accurate event detection, and high timing precision drive sensor networks in new directions for geophysical monitoring. The main contribution of this paper is an evaluation of the sensor network as a scientific instrument, holding it to the standards of existing instrumentation in terms of data fidelity (the quality and accuracy of the recorded signals) and yield (the quantity of the captured data). We describe an approach to time rectification of the acquired signals that can recover accurate timing despite failures of the underlying time synchronization protocol. In addition, we perform a detailed study of the sensor network’s data using a direct comparison to a standalone data logger, as well as an investigation of seismic and acoustic wave arrival times across the network. 1
health
"... A health information infrastructure enabling secure ..."
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A health information infrastructure enabling secure
Structural Monitoring of Wind Turbines using Wireless Sensor Networks
- Smart Structures and Systems
, 2010
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Wireless intelligent sensor and actuator network (WISAN): A scalable ultra-low-power platform for structural health monitoring
- In: Proceedings of SPIE’s Annual International Symposium on Smart Structures and Materials
, 2006
"... Wireless sensor networks have attracted attention as a possible solution for applications of periodic and continuous structural health monitoring. Ensuring synchronous data acquisition across wireless nodes in large networks of sensors spatially distributed on a structure is of critical importance f ..."
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Cited by 6 (3 self)
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Wireless sensor networks have attracted attention as a possible solution for applications of periodic and continuous structural health monitoring. Ensuring synchronous data acquisition across wireless nodes in large networks of sensors spatially distributed on a structure is of critical importance for many methods of structural health monitoring, especially those based on analysis of vibration. In this article we present a novel Wireless Intelligent Sensor and Actuator Network (WISAN) addressing the issue of scalability for applications of structural health monitoring. We also present a novel time synchronization algorithm that can keep the synchronization error between any number of globally distributed sensors nodes less than 23 ms. We show proof of stability for the time synchronization algorithm. We validate WISAN in laboratory experiments, testing the actual time synchronization between randomly selected sensors in a complex network. Finally, we validate WISAN in a field experiment by reconstructing mode shapes of a highway bridge. Keywords wireless sensor networks modal analysis time synchronization. 1
Real-Time Wireless Data Acquisition for Structural Health Monitoring and Control
, 2011
"... of excellence in research and education that has contributed greatly to the state-of-the-art in civil engineering. Completed in 1967 and extended in 1971, the structural testing area of the laboratory has a versatile strong-floor/wall and a three-story clear height that can be used to carry out a wi ..."
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Cited by 4 (0 self)
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of excellence in research and education that has contributed greatly to the state-of-the-art in civil engineering. Completed in 1967 and extended in 1971, the structural testing area of the laboratory has a versatile strong-floor/wall and a three-story clear height that can be used to carry out a wide range of tests of building materials, models, and structural systems. The laboratory is named for Dr. Nathan M. Newmark, an internationally known educator and engineer, who was the Head of the Department of Civil Engineering at the University of Illinois [1956-73] and the Chair of the Digital Computing Laboratory [1947-57]. He developed simple, yet powerful and widely used, methods for analyzing complex structures and assemblages subjected to a variety of static, dynamic, blast, and earthquake loadings. Dr. Newmark received numerous honors and awards for his achievements, including the prestigious National Medal of Science awarded in 1968 by President Lyndon B. Johnson. He was also one of the founding members of the National Academy of Engineering. Contact: Prof. B.F. Spencer, Jr.
Tentzeris, "Thickness variation study of RFID-based folded patch antennas for strain sensing
- in Proceedings of SPIE, Sensors and Smart Structures Technologies for Civil, Mechanical and Aerospace Systems
, 2011
"... sensing ..."
Decentralized Fault Detection and Isolation in Wireless Structural Health Monitoring Systems using Analytical Redundancy
"... One of the most critical issues when deploying wireless sensor networks for long-term structural health monitoring (SHM) is the correct and reliable operation of sensors. Sensor faults may reduce the quality of monitoring and, if remaining undetected, might cause significant economic loss due to ina ..."
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Cited by 2 (0 self)
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One of the most critical issues when deploying wireless sensor networks for long-term structural health monitoring (SHM) is the correct and reliable operation of sensors. Sensor faults may reduce the quality of monitoring and, if remaining undetected, might cause significant economic loss due to inaccurate or missing sensor data required for structural assessment and life-cycle management of the monitored structure. This paper presents a fully decentralized approach towards autonomous sensor fault detection and isolation in wireless SHM systems. Instead of physically installing multiple redundant sensors in the monitored structure (“physical redundancy”), which would involve substantial penalties in cost and maintainability, the information inherent in the SHM system is used for fault detection and isolation (“analytical redundancy”). Unlike traditional centralized approaches, the analytical redundancy approach is implemented distributively: Partial models of the wireless SHM system, implemented in terms of artificial neural networks in
A Framework for Component Selection in Collaborative Sensing Application Development
"... Abstract-Wireless sensor network-based technologies and applications have attracted a lot of attention in the past two decades because of their huge potential to change people's way of life. These applications usually need close collaboration among multiple sensors, gateways, services and end ..."
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Abstract-Wireless sensor network-based technologies and applications have attracted a lot of attention in the past two decades because of their huge potential to change people's way of life. These applications usually need close collaboration among multiple sensors, gateways, services and end users. When developing these applications, system designers and practitioners usually face several performance requirements such as the accuracy, battery life and system reliability. Given the hard requirements in system performance, how to choose an optimal combination from various sensors, algorithms and collaborative systems to form the application is the most important problem that practitioners need to address. Ad hoc solutions were proposed in specific applications in the past; however, a general methodology that can be easily applied to future applications is lacking. In this paper, we take the challenge and propose a general framework aiming to address the component selection problem, illustrate how this framework can be applied to real life applications through a case study, and discuss challenging issues and two interesting finds from our implementation.
Decentralized Real-time Velocity Feedback Control of Structures using Wireless Sensors
- Proceedings of the 4th International Conference on Earthquake Engineering
, 2006
"... Substantial research has been conducted to advance structural control as a means of mitigating the dynamic response of civil structures. Recently, the structural engineering field has begun exploring low-cost wireless sensors for structural monitoring applications. Wireless sensors can be employed t ..."
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Cited by 1 (1 self)
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Substantial research has been conducted to advance structural control as a means of mitigating the dynamic response of civil structures. Recently, the structural engineering field has begun exploring low-cost wireless sensors for structural monitoring applications. Wireless sensors can be employed to reduce the labor and costs associated with installing extensive lengths of coaxial wires in today’s structural control systems. In this study, the wireless sensors are designed to perform four major tasks in a control system: (a) collect real-time structural response data; (b) wirelessly transmit or receive response data; (c) process data and compute control decisions; and (d) apply control signals to structural actuators. The demands of the control system to respond in real-time pose as a challenge for wireless sensing and control, due to communication delays between wireless sensors and possible data loss. This paper investigates the feasibility of employing decentralized and partially decentralized control strategies to reduce communication latencies associated with wireless sensor networks. Control algorithms are embedded in a wireless sensor prototype designed for use in a structural control system. Both numerical simulation and experimental results show that decentralized wireless control is viable for future structural control systems, especially wireless ones.
