Investigation of Wireless Sensor Networks for Structural Health Monitoring

Joint Authors

Wang, Ping
Yan, Yan
Bouzid, Omar
Tian, Gui Yun
Ding, Zhi-guo

Source

Journal of Sensors

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-05-16

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Civil Engineering

Abstract EN

Wireless sensor networks (WSNs) are one of the most able technologies in the structural health monitoring (SHM) field.

Through intelligent, self-organising means, the contents of this paper will test a variety of different objects and different working principles of sensor nodes connected into a network and integrated with data processing functions.

In this paper the key issues of WSN applied in SHM are discussed, including the integration of different types of sensors with different operational modalities, sampling frequencies, issues of transmission bandwidth, real-time ability, and wireless transmitter frequency.

Furthermore, the topology, data fusion, integration, energy saving, and self-powering nature of different systems will be investigated.

In the FP7 project “Health Monitoring of Offshore Wind Farms,” the above issues are explored.

American Psychological Association (APA)

Wang, Ping& Yan, Yan& Tian, Gui Yun& Bouzid, Omar& Ding, Zhi-guo. 2012. Investigation of Wireless Sensor Networks for Structural Health Monitoring. Journal of Sensors،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-450264

Modern Language Association (MLA)

Wang, Ping…[et al.]. Investigation of Wireless Sensor Networks for Structural Health Monitoring. Journal of Sensors No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-450264

American Medical Association (AMA)

Wang, Ping& Yan, Yan& Tian, Gui Yun& Bouzid, Omar& Ding, Zhi-guo. Investigation of Wireless Sensor Networks for Structural Health Monitoring. Journal of Sensors. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-450264

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-450264