Laboratory for Dynamics of Machines and Structures 
Enhancements to the continuous wavelet transform for damping identifications on short signals
 M. Boltežar and J. Slavič
Mechanical Systems and Signal Processing, Sep 2004, Volume 18, Issue 5, p. 1065-1076

download pdf   http://dx.doi.org/10.1016/j.ymssp.2004.01.004

More research on: advanced signal processing,
Abstract
The edge-effect of the wavelet transform can present a serious limitation to the identification of damping. In an attempt to overcome the problem posed by the edge-effect, this paper presents three new methods that are incorporated into the definition of the continuous wavelet transform: the reflected-window method, the equal-window-area method and the adaptive-wavelet-function method. The effectiveness of these methods was tested on experimental data. It was found that with these methods the same rate of reliability could be achieved with a signal that was approximately three times shorter than the signal required by the classical CWT approach to damping identification.
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See also related papers:
[Damping identification with the Morlet-wave],
[Damping identification using a continuous wavelet transform: application to real data]
Authors

Professor

Miha Boltežar, PhD

  Ladisk, Faculty of Mechanical Engineering, University of Ljubljana
  miha.boltezar@fs.uni-lj.si
  +386 1 4771 608
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Professor

Janko Slavič, PhD

  Ladisk, Faculty of Mechanical Engineering, University of Ljubljana
  janko.slavic@fs.uni-lj.si
  +386 1 4771 226
jankoslavic     jankoslavic    
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