DocumentCode :
3459178
Title :
Concentrated Modal Parameter Identification Based on Modal-Wavelet Continuous Transformation
Author :
Ye, Qingwei ; Zhao, Tingkai ; Zhou, Yu ; Wang, Xiaodong
Author_Institution :
Inf. Sci. & Eng. Coll., Ningbo Univ., Ningbo, China
fYear :
2010
fDate :
21-23 Oct. 2010
Firstpage :
1
Lastpage :
6
Abstract :
Mode parameters extraction with Morlet wavelet continuous transformation is an important algorithm in fault diagnosis area. However, there is aliasing phenomenon between two modes on the scale image of wavelet continuous transformation while vibration modes are concentrated. A new wavelet function named mode wavelet is put forward in this paper. The mode wavelet continuous transformation can split two concentrated modes effectively. And the new algorithm of mode parameters extraction is put forward in this paper. Numerous experiments of the new algorithm indicate that the mode wavelet has obvious higher performance than Morlet wavelet.
Keywords :
feature extraction; image processing; parameter estimation; wavelet transforms; Morlet wavelet continuous transformation; aliasing phenomenon; modal parameter identification; mode parameter extraction; mode wavelet continuous transformation; Bismuth; Continuous wavelet transforms; Electronic mail; Parameter estimation; Parameter extraction; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
Electronic_ISBN :
978-1-4244-7210-9
Type :
conf
DOI :
10.1109/CCPR.2010.5659304
Filename :
5659304
Link To Document :
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