arrow
返回

Active damage localization for plate-like structures using wireless sensors and a distributed algorithm

delete2008-09-10
delete24
PRE
AI
L
L Liu *
F
Fuh‐Gwo Yuan
DOI:10.1088/0964-1726/17/5/055022delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Wireless structural health monitoring (SHM) systems have emerged as a promising technology for robust and cost-effective structural monitoring. However, the applications of wireless sensors on active diagnosis for structural health monitoring (SHM) have not been extensively investigated. Due to limited energy sources, battery-powered wireless sensors can only perform limited functions and are expected to operate at a low duty cycle. Conventional designs are not suitable for sensing high frequency signals, e. g. in the ultrasonic frequency range. More importantly, algorithms to detect structural damage with a vast amount of data usually require considerable processing and communication time and result in unaffordable power consumption for wireless sensors. In this study, an energy-efficient wireless sensor for supporting high frequency signals and a distributed damage localization algorithm for plate-like structures are proposed, discussed and validated to supplement recent advances made for active sensing-based SHM. First, the power consumption of a wireless sensor is discussed and identified. Then the design of a wireless sensor for active diagnosis using piezoelectric sensors is introduced. The newly developed wireless sensor utilizes an optimized combination of field programmable gate array (FPGA) and conventional microcontroller to address the tradeoff between power consumption and speed requirement. The proposed damage localization algorithm, based on an energy decay model, enables wireless sensors to be practically used in active diagnosis. The power consumption for data communication can be minimized while the power budget for data processing can still be affordable for a battery-powered wireless sensor. The Levenberg-Marquardt method is employed in a mains-powered sensor node or PC to locate damage. Experimental results and discussion on the improvement of power efficiency are given.
Keyword:
PROPAGATION
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Smart Materials and Structures 封面图
Smart Materials and Structures
IF:
3.8
论文数:
8.5K
被引数:
2.5W

机构

N
North Carolina State University
学者数:
534
论文数: 247
被引数: 0
引用论文

引用论文

Reduction of Morphine Abstinence in Mice with a Mutation in the Gene Encoding CREB
err1996-08-02
err0
PREAI
errRafael Maldonado; Julie A. Blendy; Eleni Tzavara; Peter Gass; Bernard P. Roques; Jacques Hanoune; Günter Schütz
err分享
err收藏
Development of an impedance-based wireless sensor node for structural health monitoring
err2007-10-08
err187
PREAI
errMascarenas, David L.; Todd, Michael D.; Park, Gyuhae; Farrar, Charles R.
err分享
err收藏
err分享
err收藏
catena-Poly[[bis(N,N′-dimethylformamide)cadmium(II)]-μ2-oxalato]
err2007-12-12
err0
errOAAI
errCédric Borel; Vratislav Langer; Johan Arnehed; Lisette Leikvoll; Mohamed Ghazzali
err分享
err收藏
Why Intraperitoneal Delivery of Insulin With Implantable Pumps in NIDDM?
err1992-06-01
err0
PREAI
errWilliam C Duckworth; Christopher D Saudek; Robert R Henry
err分享
err收藏
学者 查看更多内容