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High-Performance Wireless Piezoelectric Sensor Network for Distributed Structural Health Monitoring

Lookup NU author(s): Zheng Liu, Professor Gui Yun TianORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

This paper presents the development of a newly designed wireless piezoelectric (PZT) sensor platform for distributed large-scale structure health monitoring, where real-time data acquisition with high sampling rate up to 12.5Msps (sample per second) and distributed lamb-wave data processing are implemented. In the proposed wireless PZT network, a set of PZT transducers are deployed at the surface of the structure, a lamb-wave is excited, and its propagation characteristics within the structure are inspected to identify damages. The developed wireless node platform features a digital signal processor (DSP) of TMS320F28335 and an improved IEEE 802.15.4 wireless data transducer RF233 with up to 2Mbps data rate. Each node supports up to 8 PZT transducers, one of which works as the actuator generating the lamb-wave at an arbitrary frequency, while the responding vibrations at other PZT sensors are sensed simultaneously. In addition to hardware, embedded signal processing and distributed data processing algorithm are designed as the intelligent "brain" of the proposed wireless monitoring network to extract features of the PZT signals, so that the data transmitted over the wireless link can be reduced significantly.


Publication metadata

Author(s): Gao S, Dai XW, Liu Z, Tian GY

Publication type: Article

Publication status: Published

Journal: International Journal of Distributed Sensor Networks

Year: 2016

Volume: 2016

Online publication date: 15/03/2016

Acceptance date: 10/02/2016

Date deposited: 06/06/2016

ISSN (print): 1550-1329

ISSN (electronic): 1550-1477

Publisher: Hindawi Publishing Corporation

URL: http://dx.doi.org/10.1155/2016/3846804

DOI: 10.1155/2016/3846804


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Funding

Funder referenceFunder name
EP/J012343/1EPSRC project Novel Sensing Network for Intelligent Monitoring (NEWTON)
FP7-PEOPLE-2010-IRSES-GA-269202European Commission project Health Monitoring of Offshore Wind Farms (HEMOW)

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