Wireless communication networks for gas turbine engine testing

Dai Xuewu, Konstantinos Sasloglou, Robert Atkinson, John Strong, Isabella Panella, Yun L Cai, Han Mingding, Chee Ang Wei, Ian Glover, John Mitchell, Werner Schiffers, Partha Dutta

Research output: Contribution to journalArticle

11 Citations (Scopus)
169 Downloads (Pure)

Abstract

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. Using wireless technologies instead of fixed wiring 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, e.g. a harsh environment with a complex RF transmission environment, 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 de-risk the wireless techniques before the deployment.
Original languageEnglish
Article number212876
Number of pages18
JournalInternational Journal of Distributed Sensor Networks
Volume2012
DOIs
Publication statusPublished - Oct 2011

Keywords

  • wireless sensor network
  • gas turbine engine

Fingerprint Dive into the research topics of 'Wireless communication networks for gas turbine engine testing'. Together they form a unique fingerprint.

  • Projects

  • Cite this

    Xuewu, D., Sasloglou, K., Atkinson, R., Strong, J., Panella, I., Cai, Y. L., Mingding, H., Wei, C. A., Glover, I., Mitchell, J., Schiffers, W., & Dutta, P. (2011). Wireless communication networks for gas turbine engine testing. International Journal of Distributed Sensor Networks, 2012, [212876]. https://doi.org/10.1155/2012/212876