High-Temperature Self-Powered Sensing System for a Smart Bearing in an Aircraft Jet Engine

Bahareh Zaghari, Alex S Weddell, Kamran Esmaeilli, IMRAN Bashir, Terry J Harvery, Neil M White, Patrick Mirring, Ling Wang

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Abstract

Integrated health monitoring is beneficial, but due to reliability, weight, size, wiring, and other constraints, the incorporation of instrumentation onto aircraft propulsion systems is limited. Conventional wired sensing systems are not always feasible due to the size, weight constraints, and issues associated with cable routing. This article presents an integrated and self-powered wireless system for high-temperature (above 125 °C) environments powered by a thermoelectric generator (TEG) for bearing condition monitoring. A TEG with an internal oil-cooling chamber is proposed to achieve higher-energy output for small temperature gradient recorded in the jet engine in comparison with other TEGs with heat sinks. The experimental results demonstrate that, under a simulated engine environment, the TEG can provide sufficient energy for a wireless sensing system to collect environmental data every 46 s and transmit every 260 s during the critical takeoff phase of the flight and part of cruise.
Original languageEnglish
Article number8979443
Pages (from-to)6165-6174
Number of pages10
JournalIEEE Transactions on Instrumentation and Measurement
Volume69
Issue number9
DOIs
Publication statusPublished - 3 Feb 2020

Bibliographical note

Funding Information:
Manuscript received October 21, 2019; revised December 28, 2019; accepted January 20, 2020. Date of publication February 3, 2020; date of current version August 11, 2020. This work was supported by the framework of Clean Sky 2 Joint Undertaking through the 82 European Union Horizon 2020 Research and Innovation Programme under Grant I2BS: 717174. The Associate Editor coordinating the review process was Subhas Mukhopadhyay. (Corresponding author: Bahareh Zaghari.) Bahareh Zaghari, Alex S. Weddell, and Neil M. White are with the School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, U.K. (e-mail: bahareh.zaghari@soton.ac.uk; asw@ecs.soton.ac.uk; nmw@ecs.soton.ac.uk).

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Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

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