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