Deflection characterisation of rotary systems using ground‐based radar. Issue 20 (28th August 2019)

• Record Type: Journal Article
• Authors: Ochieng, Francis X.; Jiang, Haoyang; Hancock, Craig M.; Roberts, Gethin W.; Le Kernec, Julien; Tang, Xu; de Ligt, Huib
• Is Part Of: Journal of engineering. Volume 2019:Issue 20(2019)
• Page Start: 7215
• Page End: 7219
• Publication Date: 2019-08-28
• Subjects: wind turbines -- fatigue -- condition monitoring -- blades -- structural engineering; size 12.79 mm -- size 1.0 m -- portable ground‐based interferometric radar -- fast ground‐based interferometric radar -- dynamic deflection parameters -- radar returns -- out‐of‐plane deflection monitoring -- noncontact sensors -- regular structural health monitoring -- ground‐based radar -- rotary systems -- deflection characterisation -- rotary structures blade tips -- noncontact structural fatigue damage detection -- deflection validation -- SHM framework; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2019.0503
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : 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.