DocumentCode :
2804196
Title :
Structure Monitoring Signals Denoising Based on Independent Component Analysis
Author :
Yang, Yan
Author_Institution :
Key Lab. of Fiber Opt. Sensing Technol. & Inf. Process. of Educ. Minist., Wuhan Univ. of Technol., Wuhan, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
The vibration signals of the actual structure are mixed in various noises and the analysis result is inaccurate. The independent component analysis (ICA) method is introduced to denoise. Because of the statistical independence between noise and vibration signal, which accords with the requirement of ICA arithmetic, the noise is able to be separated from sensor signals. A noise channel is increased to enlarge the sensor signals in order to satisfy the calculation condition of ICA. In the laboratory, a sensor static relatively to the ground is placed outside the vibration structure. And its signal is regarded as noise channel. The effect of noise reduction on vibration signal by ICA is satisfied, and the denoised signals do not change the dynamical characteristic of structure.
Keywords :
independent component analysis; monitoring; signal denoising; denoised signals; independent component analysis; noise channel; noise reduction; sensor signals; signal denoising; statistical independence; vibration signals; vibration structure monitoring; Educational technology; Independent component analysis; Laboratories; Monitoring; Noise reduction; Random variables; Sensor phenomena and characterization; Signal denoising; Signal processing; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
Type :
conf
DOI :
10.1109/ICIECS.2009.5362614
Filename :
5362614
Link To Document :
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