Wireless Communication Networks for Gas Turbine Engine Testing

Author:

Dai Xuewu1,Sasloglou Konstantinos2,Atkinson Robert2,Strong John3,Panella Isabella3,Yun Cai Lim4,Mingding Han4,Chee Wei Ang4,Glover Ian2,Mitchell John E.1,Schiffers Werner5,Dutta Partha S.6

Affiliation:

1. Department of Electronic and Electrical Engineering, University College London, London WC1E 7JE, UK

2. Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XW, UK

3. SELEX Galileo, Basildon SS14 3EL, UK

4. Institute for Infocomm Research, A*STAR, Singapore

5. Strategic Research Centre, Rolls-Royce plc, P.O. Box 31, Derby DE24 8BJ, UK

6. Advanced Technology Centre, Rolls-Royce Singapore Pte Ltd., 16 International Business Park, No. 03-01 M+W Zander, Singapore, 609929

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. 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.

Funder

Wireless Data Acquisition in Gas Turbine Engine Testing

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automated and Secure Control of Industrial Internet of Things: from WSN to Open RAN Solutions;2023 International Wireless Communications and Mobile Computing (IWCMC);2023-06-19

2. Condition Monitoring with LoRaWAN: Preliminary Tests on Gas Turbine Exciters;2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT);2021-06-07

3. Digital Twin in the Military Field;IEEE Internet Computing;2021

4. Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap;Production and Operations Management;2018-01-30

5. A Random Compressive Sensing Method for Airborne Clustering WSNs;International Journal of Distributed Sensor Networks;2015-08-01

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