DocumentCode :
478260
Title :
Application of Principal Component Analysis in Relational Research between Aeroengine Assembly Parameters and Its Vibration
Author :
Ai, Yanting ; Zhang, Fengling
Author_Institution :
Eng. Noise & Vibration Center, Shenyang Inst. of Aeronaut. Eng., Shenyang
Volume :
4
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
95
Lastpage :
99
Abstract :
Although aeroengine vibration is mainly due to unbalance of rotating components, assembly methods and assembly parameters fluctuations also play an important role in engine vibration research. Method of principal component analysis (PCA) is put forward in this paper to study the relations between assembly parameters and engine vibration for the first time. The principle of PCA and its application in fault analysis of aeroengine vibration are presented in detail in the following content and the program of PCA is developed using platform Visual C++. Finally, the most critical assembly parameters that take the worst effect on engine vibration, including surface joint degree, bearing clearance, wear loss of bearing casing and face run-out, are achieved after calculations utilizing the program.
Keywords :
C++ language; aerospace engineering; aerospace engines; principal component analysis; aeroengine assembly parameters; aeroengine vibration; bearing clearance; platform Visual C++; principal component analysis; surface joint degree; Aerospace engineering; Assembly; Computer applications; Data analysis; Engines; Fluctuations; Independent component analysis; Principal component analysis; Random variables; Vibration measurement; aeroengine; assembly process; principal component analysis; whole body vibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.16
Filename :
4667256
Link To Document :
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