DocumentCode :
1640544
Title :
Feature Analysis for Exhaust Gas Temperature of Turbo Shaft Engine Based on Hilbert-Huang Transform
Author :
Huang, Yanfang ; Yan, Jinglong ; Zhang, Song
Author_Institution :
Sch. of Mechatron. Eng., Beijing Inst. of Technol., Beijing, China
fYear :
2011
Firstpage :
1
Lastpage :
4
Abstract :
A new procedure based on Hilbert-Huang Transform (HHT) was proposed to investigate the change of the exhaust gas temperature (EGT) of turbo shaft engine. Energy-frequency-time distribution of the signal can be established though empirical mode decomposition (EMD) and Hilbert transform, from which Hilbert energy spectrum was obtained. The energy spectrum was applied to indicate the energy distribution of the signal on the frequency axis. The variation of EGT changing with time was researched by using instantaneous energy. At the same time, the signals of EGT were decomposed into intrinsic mode function, by which can eliminate the effect of noise on original signal. Feasibility of the method had already been verified by the tests.
Keywords :
Hilbert transforms; feature extraction; jet engines; shafts; signal processing; EGT; EMD; Hilbert energy spectrum; Hilbert-Huang transform; empirical mode decomposition; energy-frequency-time distribution; exhaust gas temperature; feature analysis; intrinsic mode function; turbo shaft engine; Engines; Helicopters; Rotors; Shafts; Temperature distribution; Time frequency analysis; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
ISSN :
2161-9646
Print_ISBN :
978-1-4244-6250-6
Type :
conf
DOI :
10.1109/wicom.2011.6039958
Filename :
6039958
Link To Document :
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