Deflection characterisation of rotary systems using a ground-based radar

Ochieng, F. X., Jiang, H., Hancock, C. M., Roberts, G. W., Le Kernec, J. , Tang, X. and de Ligt, H. (2019) Deflection characterisation of rotary systems using a ground-based radar. Journal of Engineering, 2019(20), pp. 7215-7219. (doi: 10.1049/joe.2019.0503)

164356.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.



In the last two decades, an increase in large rotary machines/systems has been witnessed. To ensure safe operation of these systems especially due to extreme stress caused by centrifugal forces as well as the wind or water loadings, regular structural health monitoring (SHM) of the unbalanced parameters, particularly at the blade tips is necessary. For this, the use of non-contact sensors provides the most appropriate approach; however, millimetric out-of-plane deflection monitoring using non-contact sensors at distances >1 m has not been comprehensively addressed for rotary systems, like wind turbines. This study presents a modelling environment to simulate radar returns to analyse rotary systems. Employing Sammon mapping as a dimensionality reduction procedure in conjunction with 2D visualisation, the study demonstrates the characterisation of dynamic deflection parameters using a fast, portable ground-based interferometric radar (GBR). Comparisons between the GBR results with those of a Leica AR20 GPS indicate a divergence ±12.79 mm. The study utilises SHM framework to acquire, normalise, extract, and validate GBR signals within an SHM framework for structures under test or for deflection validation of the new system. Further, it contributes to the non-contact structural fatigue damage detection during design, testing, and operating stages of rotary structures blade tips.

Item Type:Articles
Additional Information:The authors acknowledge the financial support from the International Doctoral Innovation Centre, Ningbo Education Bureau, Ningbo Science and Technology Bureau, and the University of Nottingham. This work was also supported by the Ningbo Science and Technology Bureau as part of the International Academy for the Marine Economy and Technology (IAMET) project ‘Structural Health Monitoring of Infrastructure in the Logistics Cycle (2014A35008)’
Glasgow Author(s) Enlighten ID:Le Kernec, Dr Julien
Authors: Ochieng, F. X., Jiang, H., Hancock, C. M., Roberts, G. W., Le Kernec, J., Tang, X., and de Ligt, H.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Journal of Engineering
ISSN (Online):2051-3305
Published Online:11 July 2019
Copyright Holders:Copyright © The Institution of Engineering and Technology 2019
First Published:First published in Journal of Engineering 2019(20):7215-7219
Publisher Policy:Reproduced under a Creative Commons license

University Staff: Request a correction | Enlighten Editors: Update this record