TY - JOUR
T1 - Wireless Communication Networks for Gas Turbine Engine Testing
AU - Dai, Xuewu
AU - Sasloglou, Konstantinos
AU - Atkinson, Robert
AU - Strong, John
AU - Panella, Isabella
AU - Cai, Lim Yun
AU - Mingding, Han
AU - Wei, Ang Chee
AU - Glover, Ian
AU - Mitchell, John
AU - Schiffers, Werner
AU - Dutta, Partha
PY - 2012
Y1 - 2012
N2 - A new trend in the field of Aeronautical Engine Health Monitoring is the implementation of wireless sensor networks (WSNs) for data acquisition and condition monitoring to partially replace heavy and complex wiring harnesses, which limit the versatility of the monitoring process as well as creating practical deployment issues. Augmenting wired with wireless technologies will fuel opportunities for reduced cabling, faster sensor and network deployment, increased data acquisition flexibility, and reduced cable maintenance costs. However, embedding wireless technology into an aero engine (even in the ground testing application considered here) presents some very significant challenges, for example, a harsh environment with a complex RF transmission channel, high sensor density, and high data rate. In this paper we discuss the results of the Wireless Data Acquisition in Gas Turbine Engine Testing (WIDAGATE) project, which aimed to design and simulate such a network to estimate network performance and derisk the wireless techniques before the deployment.
AB - A new trend in the field of Aeronautical Engine Health Monitoring is the implementation of wireless sensor networks (WSNs) for data acquisition and condition monitoring to partially replace heavy and complex wiring harnesses, which limit the versatility of the monitoring process as well as creating practical deployment issues. Augmenting wired with wireless technologies will fuel opportunities for reduced cabling, faster sensor and network deployment, increased data acquisition flexibility, and reduced cable maintenance costs. However, embedding wireless technology into an aero engine (even in the ground testing application considered here) presents some very significant challenges, for example, a harsh environment with a complex RF transmission channel, high sensor density, and high data rate. In this paper we discuss the results of the Wireless Data Acquisition in Gas Turbine Engine Testing (WIDAGATE) project, which aimed to design and simulate such a network to estimate network performance and derisk the wireless techniques before the deployment.
UR - https://sites.google.com/site/xwdaiuk/
U2 - 10.1155/2012/212876
DO - 10.1155/2012/212876
M3 - Article
SN - 1550-1329
VL - 2012
JO - International Journal of Distributed Sensor Networks
JF - International Journal of Distributed Sensor Networks
ER -