Article (Scientific journals)
A comparison of blade tip timing data analysis methods
Carrington, Ian B; Wright, Jan Robert; Cooper, Jonathan E et al.
2001In Proceedings of the Institution of Mechanical Engineers. Part G, Journal of Aerospace Engineering, 215 (6), p. 301-312
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Keywords :
blade tip timing; non-intrusive stress measurement system; vibration analysis; turbomachinery; bladed assemblies; autoregressive methods
Abstract :
[en] The experimental determination of the vibration characteristics of rotating engine blades is very important for fatigue failure considerations. One of the most promising techniques for measuring the frequency of blade vibrations is blade tip timing. In this paper, three vibration analysis methods were specifically formulated and applied to the tip timing problem for the first time, using data obtained from a simple mathematical blade tip timing simulation. The results from the methods were compared statistically in order to determine which of the techniques is more suitable. One of the methods, the global autoregressive instrumental variables approach, produced satisfactory results at realistic noise levels. However, all of the techniques produced biased results under certain circumstances.
Disciplines :
Aerospace & aeronautics engineering
Author, co-author :
Carrington, Ian B;  University of Manchester > School of Engineering
Wright, Jan Robert;  University of Manchester > School of Engineering
Cooper, Jonathan E;  University of Manchester > School of Engineering
Dimitriadis, Grigorios ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Intéractions fluide structure et aérodynamique expérimentale
Language :
English
Title :
A comparison of blade tip timing data analysis methods
Publication date :
2001
Journal title :
Proceedings of the Institution of Mechanical Engineers. Part G, Journal of Aerospace Engineering
ISSN :
0954-4100
Publisher :
Professional Engineering Publishing, United Kingdom
Volume :
215
Issue :
6
Pages :
301-312
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 27 March 2009

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