Enhanced identification of damping using continuous wavelet transform

SLAVIČ, Janko ;BOLTEŽAR, Miha .
Enhanced identification of damping using continuous wavelet transform. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 48, n.11, p. 621-631, july 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/enhanced-identification-of-damping-using-continuous-wavelet-transform/>. Date accessed: 23 jan. 2026. 
doi:http://dx.doi.org/.

Slavič, J., & Boltežar, M.
(2002).
Enhanced identification of damping using continuous wavelet transform.
Strojniški vestnik - Journal of Mechanical Engineering, 48(11), 621-631.
doi:http://dx.doi.org/

@article{.,
	author = {Janko  Slavič and Miha  Boltežar},
	title = {Enhanced identification of damping using continuous wavelet transform},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {48},
	number = {11},
	year = {2002},
	keywords = {dynamical systems; damping identification; wavelet transformation; identification methods; },
	abstract = {A continuous wavelet transform (CWT) based on the Gabor wavelet function is used to identify the damping of a multi-degree-of-freedom system. The basic procedures are already known, especially the identification with a Morlet CWT. This paper enhances the already known procedures in the sense of reducing the edge-effect. This makes it possible to identify the damping of high-frequency modes. Three methods are shown: the reduced time spread of the wavelet function method, the equivalent window area method and the reflected window method. The procedures are demonstrated on signals acquired from the lateral vibration of a uniform beam. We were able to identify the damping up to the sixth natural frequency.},
	issn = {0039-2480},	pages = {621-631},	doi = {},
	url = {https://www.sv-jme.eu/sl/article/enhanced-identification-of-damping-using-continuous-wavelet-transform/}
}

Slavič, J.,Boltežar, M.
2002 July 48. Enhanced identification of damping using continuous wavelet transform. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 48:11

%A Slavič, Janko 
%A Boltežar, Miha 
%D 2002
%T Enhanced identification of damping using continuous wavelet transform
%B 2002
%9 dynamical systems; damping identification; wavelet transformation; identification methods; 
%! Enhanced identification of damping using continuous wavelet transform
%K dynamical systems; damping identification; wavelet transformation; identification methods; 
%X A continuous wavelet transform (CWT) based on the Gabor wavelet function is used to identify the damping of a multi-degree-of-freedom system. The basic procedures are already known, especially the identification with a Morlet CWT. This paper enhances the already known procedures in the sense of reducing the edge-effect. This makes it possible to identify the damping of high-frequency modes. Three methods are shown: the reduced time spread of the wavelet function method, the equivalent window area method and the reflected window method. The procedures are demonstrated on signals acquired from the lateral vibration of a uniform beam. We were able to identify the damping up to the sixth natural frequency.
%U https://www.sv-jme.eu/sl/article/enhanced-identification-of-damping-using-continuous-wavelet-transform/
%0 Journal Article
%R 
%& 621
%P 11
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 48
%N 11
%@ 0039-2480
%8 2017-07-07
%7 2017-07-07

Slavič, Janko, & Miha  Boltežar.
"Enhanced identification of damping using continuous wavelet transform." Strojniški vestnik - Journal of Mechanical Engineering [Online], 48.11 (2002): 621-631. Web.  23 Jan. 2026

TY  - JOUR
AU  - Slavič, Janko 
AU  - Boltežar, Miha 
PY  - 2002
TI  - Enhanced identification of damping using continuous wavelet transform
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - dynamical systems; damping identification; wavelet transformation; identification methods; 
N2  - A continuous wavelet transform (CWT) based on the Gabor wavelet function is used to identify the damping of a multi-degree-of-freedom system. The basic procedures are already known, especially the identification with a Morlet CWT. This paper enhances the already known procedures in the sense of reducing the edge-effect. This makes it possible to identify the damping of high-frequency modes. Three methods are shown: the reduced time spread of the wavelet function method, the equivalent window area method and the reflected window method. The procedures are demonstrated on signals acquired from the lateral vibration of a uniform beam. We were able to identify the damping up to the sixth natural frequency.
UR  - https://www.sv-jme.eu/sl/article/enhanced-identification-of-damping-using-continuous-wavelet-transform/

@article{{}{.},
	author = {Slavič, J., Boltežar, M.},
	title = {Enhanced identification of damping using continuous wavelet transform},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {48},
	number = {11},
	year = {2002},
	doi = {},
	url = {https://www.sv-jme.eu/sl/article/enhanced-identification-of-damping-using-continuous-wavelet-transform/}
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TY  - JOUR
AU  - Slavič, Janko 
AU  - Boltežar, Miha 
PY  - 2017/07/07
TI  - Enhanced identification of damping using continuous wavelet transform
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 48, No 11 (2002): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - dynamical systems, damping identification, wavelet transformation, identification methods, 
N2  - A continuous wavelet transform (CWT) based on the Gabor wavelet function is used to identify the damping of a multi-degree-of-freedom system. The basic procedures are already known, especially the identification with a Morlet CWT. This paper enhances the already known procedures in the sense of reducing the edge-effect. This makes it possible to identify the damping of high-frequency modes. Three methods are shown: the reduced time spread of the wavelet function method, the equivalent window area method and the reflected window method. The procedures are demonstrated on signals acquired from the lateral vibration of a uniform beam. We were able to identify the damping up to the sixth natural frequency.
UR  - https://www.sv-jme.eu/sl/article/enhanced-identification-of-damping-using-continuous-wavelet-transform/

Slavič, Janko, AND Boltežar, Miha.
"Enhanced identification of damping using continuous wavelet transform" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 48 Number 11 (07 July 2017)