A hybrid wireless sensor network for acoustic emission testing in SHM

Christian Grosse, Greg McLaskey, Sebastian Bachmaier, Steven D. Glaser, Markus Krüger

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

Acoustic emission techniques (AET) have a lot of potential in structural health monitoring for example to detect cracks or wire breaks. However, the number of actual applications of conventional wired AET on structures is limited due to the expensive and time consuming installation process. Wires are also vulnerable to damage and vandalisms. Wireless systems instead are easy to be attached to structures, scalable and cost efficient. A hybrid sensor network system is presented being able to use any kind of commercial available AE sensor controlled by a sensor node. In addition micro-electro-mechanical systems (MEMS) can be used as sensors measuring for example temperature, humidity or strain. The network combines multi-hop data transmission techniques with efficient data pre-processing in the nodes. The data processing of different sensor data prior to energy consuming radio transmission is an important feature to enable wireless networking. Moreover, clusters of sensor nodes are formed within the network to compare the pre-processed data. In this way it is possible to limit the data transfer through the network and to the sink as well as the amount of data to be reviewed by the owner. In particular, this paper deals with the optimization of the network to record different type of data including AE data. The basic principles of a wireless monitoring system equipped with MEMS sensors is presented along with a first prototype able to record temperature, moisture, strain and other data continuously. The extraction of relevant information out of the recorded AE data in terms of array data processing is presented in a second paper by McLaskey et al. in these proceedings. Using these two techniques, monitoring of large structures in civil engineering becomes very efficient.

Original languageEnglish
Article number693238
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume6932
DOIs
Publication statusPublished - 2 Jun 2008
Externally publishedYes
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008 - San Diego, CA, United States
Duration: 10 Mar 200813 Mar 2008

Fingerprint

Acoustic emission testing
Acoustic Emission
acoustic emission
Wireless Sensor Networks
Wireless sensor networks
Testing
sensors
Sensors
Sensor
Acoustic emissions
Sensor nodes
Hybrid sensors
Wire
Radio transmission
Monitoring
Micro-electro-mechanical Systems
Structural health monitoring
Data transfer
Civil engineering
Data communication systems

Keywords

  • Acoustic emission
  • MEMS
  • Structural health monitoring
  • Wireless sensor networks

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

A hybrid wireless sensor network for acoustic emission testing in SHM. / Grosse, Christian; McLaskey, Greg; Bachmaier, Sebastian; Glaser, Steven D.; Krüger, Markus.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 6932, 693238, 02.06.2008.

Research output: Contribution to journalConference articleResearchpeer-review

Grosse, Christian ; McLaskey, Greg ; Bachmaier, Sebastian ; Glaser, Steven D. ; Krüger, Markus. / A hybrid wireless sensor network for acoustic emission testing in SHM. In: Proceedings of SPIE - The International Society for Optical Engineering. 2008 ; Vol. 6932.
@article{7a87b4b9a9204e7b92fe3859f2e9ee9a,
title = "A hybrid wireless sensor network for acoustic emission testing in SHM",
abstract = "Acoustic emission techniques (AET) have a lot of potential in structural health monitoring for example to detect cracks or wire breaks. However, the number of actual applications of conventional wired AET on structures is limited due to the expensive and time consuming installation process. Wires are also vulnerable to damage and vandalisms. Wireless systems instead are easy to be attached to structures, scalable and cost efficient. A hybrid sensor network system is presented being able to use any kind of commercial available AE sensor controlled by a sensor node. In addition micro-electro-mechanical systems (MEMS) can be used as sensors measuring for example temperature, humidity or strain. The network combines multi-hop data transmission techniques with efficient data pre-processing in the nodes. The data processing of different sensor data prior to energy consuming radio transmission is an important feature to enable wireless networking. Moreover, clusters of sensor nodes are formed within the network to compare the pre-processed data. In this way it is possible to limit the data transfer through the network and to the sink as well as the amount of data to be reviewed by the owner. In particular, this paper deals with the optimization of the network to record different type of data including AE data. The basic principles of a wireless monitoring system equipped with MEMS sensors is presented along with a first prototype able to record temperature, moisture, strain and other data continuously. The extraction of relevant information out of the recorded AE data in terms of array data processing is presented in a second paper by McLaskey et al. in these proceedings. Using these two techniques, monitoring of large structures in civil engineering becomes very efficient.",
keywords = "Acoustic emission, MEMS, Structural health monitoring, Wireless sensor networks",
author = "Christian Grosse and Greg McLaskey and Sebastian Bachmaier and Glaser, {Steven D.} and Markus Kr{\"u}ger",
year = "2008",
month = "6",
day = "2",
doi = "10.1117/12.775641",
language = "English",
volume = "6932",
journal = "Proceedings of SPIE",
issn = "0277-786X",
publisher = "SPIE",

}

TY - JOUR

T1 - A hybrid wireless sensor network for acoustic emission testing in SHM

AU - Grosse, Christian

AU - McLaskey, Greg

AU - Bachmaier, Sebastian

AU - Glaser, Steven D.

AU - Krüger, Markus

PY - 2008/6/2

Y1 - 2008/6/2

N2 - Acoustic emission techniques (AET) have a lot of potential in structural health monitoring for example to detect cracks or wire breaks. However, the number of actual applications of conventional wired AET on structures is limited due to the expensive and time consuming installation process. Wires are also vulnerable to damage and vandalisms. Wireless systems instead are easy to be attached to structures, scalable and cost efficient. A hybrid sensor network system is presented being able to use any kind of commercial available AE sensor controlled by a sensor node. In addition micro-electro-mechanical systems (MEMS) can be used as sensors measuring for example temperature, humidity or strain. The network combines multi-hop data transmission techniques with efficient data pre-processing in the nodes. The data processing of different sensor data prior to energy consuming radio transmission is an important feature to enable wireless networking. Moreover, clusters of sensor nodes are formed within the network to compare the pre-processed data. In this way it is possible to limit the data transfer through the network and to the sink as well as the amount of data to be reviewed by the owner. In particular, this paper deals with the optimization of the network to record different type of data including AE data. The basic principles of a wireless monitoring system equipped with MEMS sensors is presented along with a first prototype able to record temperature, moisture, strain and other data continuously. The extraction of relevant information out of the recorded AE data in terms of array data processing is presented in a second paper by McLaskey et al. in these proceedings. Using these two techniques, monitoring of large structures in civil engineering becomes very efficient.

AB - Acoustic emission techniques (AET) have a lot of potential in structural health monitoring for example to detect cracks or wire breaks. However, the number of actual applications of conventional wired AET on structures is limited due to the expensive and time consuming installation process. Wires are also vulnerable to damage and vandalisms. Wireless systems instead are easy to be attached to structures, scalable and cost efficient. A hybrid sensor network system is presented being able to use any kind of commercial available AE sensor controlled by a sensor node. In addition micro-electro-mechanical systems (MEMS) can be used as sensors measuring for example temperature, humidity or strain. The network combines multi-hop data transmission techniques with efficient data pre-processing in the nodes. The data processing of different sensor data prior to energy consuming radio transmission is an important feature to enable wireless networking. Moreover, clusters of sensor nodes are formed within the network to compare the pre-processed data. In this way it is possible to limit the data transfer through the network and to the sink as well as the amount of data to be reviewed by the owner. In particular, this paper deals with the optimization of the network to record different type of data including AE data. The basic principles of a wireless monitoring system equipped with MEMS sensors is presented along with a first prototype able to record temperature, moisture, strain and other data continuously. The extraction of relevant information out of the recorded AE data in terms of array data processing is presented in a second paper by McLaskey et al. in these proceedings. Using these two techniques, monitoring of large structures in civil engineering becomes very efficient.

KW - Acoustic emission

KW - MEMS

KW - Structural health monitoring

KW - Wireless sensor networks

UR - http://www.scopus.com/inward/record.url?scp=44349088240&partnerID=8YFLogxK

U2 - 10.1117/12.775641

DO - 10.1117/12.775641

M3 - Conference article

VL - 6932

JO - Proceedings of SPIE

JF - Proceedings of SPIE

SN - 0277-786X

M1 - 693238

ER -