Title :
Study on the Comparison of Several Denoising Theories and Effects about Vibration Signal
Author :
Zhang, Jianwei ; Liu, Shangwei
Author_Institution :
North China Univ. of Water Resources & Electr. Power, Zhengzhou, China
Abstract :
In order to obtain random vibration signals of structure accurately, it is necessary to the collected vibration signals which are processed to remove the interference factors and noise components. In this paper, three methods to noise reduction are introduced, which are the wavelet method, IIR numeric filter, and singular entropy technique separately. Construct analog signal with varying degrees of noise, and the noise is reduced based on the above methods, and also the SNR index is calculated separately after noise reduction. Study shows that method of singular entropy technique can determine the proper order of singular spectrum of the random vibration signal, and ensure the integrity of information contained in the signal after noise reduction and the maximum SNR improvement to a large extent.
Keywords :
IIR filters; signal denoising; wavelet transforms; IIR numeric filter; analog signal construction; denoising theories; interference factors; maximum SNR improvement; noise reduction; random vibration signal; random vibration signals; singular entropy technique; singular spectrum; wavelet method; Entropy; Filtering theory; IIR filters; Matrix decomposition; Noise; Noise reduction; Vibrations; IIR numeric filter; singular entropy technique; vibration signal; wavelet method;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2010 International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-8094-4
DOI :
10.1109/ISCID.2010.50