Next Generation Wireless Smart Sensors Toward Sustainable Civil Infrastructure
TLDR
This platform addresses critical SHM needs, enabling tightly synchronized sensing, addressing data loss, and efficiently implementing the demanding numerical algorithms required for system identification and damage detection on sensor nodes with limited resources.About:
This article is published in Procedia Engineering.The article was published on 2017-01-01 and is currently open access. It has received 66 citations till now. The article focuses on the topics: Structural health monitoring & Software framework.read more
Citations
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Computer vision and deep learning–based data anomaly detection method for structural health monitoring:
TL;DR: Inspired by the real-world manual inspection process, a computer vision and deep learning–based data anomaly detection method is proposed that shows that the multi-pattern anomalies of the data can be automatically detected with high accuracy.
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Experimental validation of a novel piezoelectric energy harvesting system employing wake galloping phenomenon for a broad wind spectrum
TL;DR: In this article, a novel piezoelectric energy harvesting system using the wake galloping phenomenon is explored for the broad wind spectrum, where the flow of wind runs parallel to the placed cylinders with upstream cylinder fixed at one end while the downstream one is placed over an unimorph cantilever beam with piezolectric film attached to it.
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Development of a High-Sensitivity Wireless Accelerometer for Structural Health Monitoring
TL;DR: A high-resolution and low-noise tri-axial digital MEMS accelerometer is incorporated in a next-generation WSS platform, the Xnode, which will extend the use of WSSN to a broader class of SHM applications.
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Structural health monitoring using wireless smart sensor network – An overview
TL;DR: The review primarily focuses on the recently used wireless data acquisition system and execution of AI resources for data prediction and data diagnosis in RCC buildings and bridges and indicates the lag in real-world execution of structural health monitoring technologies despite advances in academia.
Journal ArticleDOI
Structural health monitoring using wireless smart sensor network – An overview
TL;DR: A comprehensive review of advances in data acquisition, processing, diagnosis, and retrieval stages of Structural Health Monitoring both academically and commercially is presented in this article , which primarily focuses on the recently used wireless data acquisition system and execution of AI resources for data prediction and data diagnosis in RCC buildings and bridges.
References
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Book
Actors: A Model of Concurrent Computation in Distributed Systems
TL;DR: In this article, the authors define an abstract actor machine and provide a minimal programming language for it, which includes higher level constructs such as delayed and eager evaluation, which can be defined in terms of the primitives.
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Smart sensing technology: opportunities and challenges
TL;DR: A brief introduction to smart sensing technology is provided and some of the opportunities and associated challenges are identified.
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Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation
Shinae Jang,Hongki Jo,Soojin Cho,Kirill Mechitov,Jennifer A. Rice,Sung-Han Sim,Hyung-Jo Jung,Chung-Bangm Yun,Billie F. Spencer,Gul Agha +9 more
TL;DR: The deployment and evaluation of a state-of-the-art WSSN on the new Jindo Bridge, a cable-stayed bridge in South Korea, demonstrates the strong potential of WSSNs for monitoring of large scale civil infrastructure.
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Design and Implementation of Scalable Wireless Sensor Network for Structural Monitoring
TL;DR: The results showed that the WSN provides spatially dense and accurate ambient vibration data for identifying vibration modes of a bridge and the scalability of the network and the data quality was demonstrated.
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Flexible smart sensor framework for autonomous structural health monitoring
Jennifer A. Rice,Kirill Mechitov,Sung-Han Sim,Tomonori Nagayama,Shinae Jang,Robin E. Kim,Billie F. Spencer,Gul Agha,Yozo Fujino +8 more
TL;DR: A flexible wireless smart sensor framework for full-scale, autonomous SHM that integrates the necessary software and hardware while addressing key implementation requirements is developed and validated on a full- scale a cable-stayed bridge in South Korea.
Related Papers (5)
A summary review of wireless sensors and sensor networks for structural health monitoring
Jerome P. Lynch,Kenneth J. Loh +1 more