DocumentCode
572846
Title
Feature extraction from the engine measurement signal of mass characteristic based on wavelet analysis
Author
Sun Baihong ; Yuan Junshe
Author_Institution
Basic Theor. Res. Center, Xi´an Aerosp. Propulsion Inst., Xi´an, China
fYear
2012
fDate
24-26 Aug. 2012
Firstpage
128
Lastpage
130
Abstract
It was observed that the measurement signals contained some undesired parts in engine mass characteristic measurement test by single pendulum method, which brought some difficulties for extracting parameters of engine mass characteristic. The useable signals were separated from the undesired signals through the wavelet multi-resolution-analysis. Some parameters of the engine system such as the natural frequencies, logarithmic decrement, and the damping ratio were obtained using the useable signals. The impact of the damping on the natural frequencies of the system was also studied. The sources of the undesired signals and the defective workmanship were found by the features analysis of the undesired signals. Results show that the wavelet analysis is a useful tool with practical meanings that may be used to extract the structural dynamic parameters, improve the measurement accuracy and locate the damage in the engine system.
Keywords
damping; engines; feature extraction; mass measurement; pendulums; signal resolution; wavelet transforms; damping ratio; engine mass characteristic measurement test; engine system; feature extraction; logarithmic decrement; signal sources; single pendulum method; structural dynamic parameter extraction; wavelet analysis; wavelet multiresolution-analysis; Acceleration; Accuracy; Chemicals; Damping; Signal resolution; Sun; Engine; Feature extraction; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location
Xi´an, Shaanxi
Print_ISBN
978-1-4673-1410-7
Type
conf
DOI
10.1109/CSIP.2012.6308811
Filename
6308811
Link To Document