DocumentCode :
535219
Title :
Analysis of the time-frequency characteristics of internal combustion engine vibration signal based on adaptive generalized S transform
Author :
Xu, Hongmei ; Yuan, Shengfa ; Zong, Li
Author_Institution :
Coll. of Eng. & Technol., Huazhong Agric. Univ., Wuhan, China
Volume :
7
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
3395
Lastpage :
3399
Abstract :
An adaptive generalized S transform algorithm with an optimization parameter was first proposed in this paper. A simulation experiment was subsequently designed to verify the validity of the algorithm. Compared with other time-frequency analysis algorithms, this algorithm has a higher resolution and energy concentration, and is more suitable for analyzing the time-frequency characteristics of the cylinder head vibration signal. Afterwards, various time-frequency analysis methods were adopted to analyze the vibration characteristics of a four cylinder gasoline engine. The results show that the vibration energy of the cylinder head is chiefly concentrated in the frequency band of 1700~2300Hz, and mainly caused by the engine combustion incentive. The lower frequency components of 37Hz and 74Hz correspond to the fundamental frequency and its second-order harmonic respectively. The analysis results are helpful to the vibration control and structure optimization of IC engine.
Keywords :
Laplace transforms; internal combustion engines; optimisation; petroleum; time-frequency analysis; vibration control; adaptive generalized S transform algorithm; cylinder head vibration signal; gasoline engine; internal combustion engine; optimization parameter; structure optimization; time-frequency analysis algorithm; vibration control; vibration energy; Energy resolution; Engines; Signal resolution; Time frequency analysis; Transforms; Vibrations; IC engine; adaptive generalized S transform; cylinder head; time-frequency representation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5647348
Filename :
5647348
Link To Document :
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