Title :
De-noising method for mechanical vibration signals based on EMD
Author :
Wang Jinfeng ; Cheng, Cheng ; Zhao Song
Author_Institution :
ZhengZhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China
Abstract :
De-Noising of the vibration signal is the key to improve the accuracy of fault diagnosis. A new method of De-Noising based on Empirical Mode Decomposition (EMD) has been proposed. This method overcome the defect that traditional time domain or frequency domain filters need to determine the window function of shape and position by using the filter generated from its own signal. De-Noising processes of numerical simulation signal is tested. Experiments result shows that this method has better performance on noise to signal ratio and fault features extracting compared to traditional wavelet de-noising.
Keywords :
decomposition; numerical analysis; signal denoising; time-frequency analysis; vibrations; EMD; de-noising method; empirical mode decomposition; fault diagnosis; frequency domain filters; mechanical vibration signals; noise to signal ratio; numerical simulation signal; time domain filters; window function; Geoscience and remote sensing; Empirical Mode Decomposition; noise reduction; vibration signal;
Conference_Titel :
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-8514-7
DOI :
10.1109/IITA-GRS.2010.5603109