Wireless Communication Networks for Gas Turbine Engine Testing

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.

[1]  Ivan Andonovic,et al.  Empirical modelling and simulation of transmission loss between wireless sensor nodes in gas turbine engines , 2009, 2009 7th International Conference on Information, Communications and Signal Processing (ICICS).

[2]  H.A. Thompson Wireless sensor research at the Rolls-Royce Control and Systems University Technology Centre , 2009, 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology.

[3]  Rohit K. Belapurkar,et al.  Application of wireless sensor networks to aircraft control and health management systems , 2011 .

[4]  Haydn A. Thompson Wireless and Internet communications technologies for monitoring and control , 2004 .

[5]  Khaldoun Al Agha,et al.  Cross-layering in an Industrial Wireless Sensor Network: Case Study of OCARI , 2009, J. Networks.

[6]  Mark D. Yarvis,et al.  Design and deployment of industrial sensor networks: experiences from a semiconductor plant and the north sea , 2005, SenSys '05.

[7]  Biplab Sikdar,et al.  Performance Analysis of Polling based TDMA MAC Protocols with Sleep and Wakeup Cycles , 2007, 2007 IEEE International Conference on Communications.

[8]  Ming Zhang,et al.  Achieving MAC-Layer Fairness in CSMA/CA Networks , 2011, IEEE/ACM Transactions on Networking.

[9]  Gerhard P. Hancke,et al.  Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches , 2009, IEEE Transactions on Industrial Electronics.

[10]  J. Brusey,et al.  Wireless Sensor Networks for Aerospace Applications- Thermal Monitoring for a Gas Turbine Engine , 2009 .

[11]  Chin-Tau A. Lea,et al.  On Fairness Enhancement for CSMA/CA Wireless Networks , 2010, IEEE Systems Journal.

[12]  Mohammed Atiquzzaman,et al.  Wireless sensor network for aircraft health monitoring , 2004, First International Conference on Broadband Networks.

[13]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[14]  James Brusey,et al.  Wireless instrumentation for aerospace applications—thermal monitoring for a gas turbine engine , 2008 .