Title :
An improved wavelet denoising method used in electrical throttle performance testing
Author :
Xiaomin Yang ; Zailiang Chen
Author_Institution :
Sch. of Mech. & Electron. Eng., Soochow Univ., Suzhou, China
Abstract :
In this paper, an electrical throttle performance test system is designed mainly focusing on its potentiometer and function tests. An improved denoising algorithm based upon the wavelet transform is proposed in non-stationary testing environment. In the experiment, the virtual instrument is used to call the denoising module and processes the acquiring signals. It is proved that its effect is obviously more excellent than conventional algorithms. This test system is then used in actual assembly line. Good parts can be sorted out efficiently and the quality of assembly line is improved.
Keywords :
assembling; automotive engineering; fuel systems; mechanical testing; signal denoising; wavelet transforms; assembly line; electrical throttle performance testing; nonstationary testing environment; virtual instrument; wavelet denoising; wavelet transform; Algorithm design and analysis; Educational institutions; Noise; Noise reduction; Testing; Wavelet transforms; electrical throttle; performance test; wavelet denoising;
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2547-9
DOI :
10.1109/IASP.2012.6425016