On the use of continuous wavelet analysis for modal identification

TL;DR

This paper reviews how continuous wavelet transform can be used to improve modal identification in mechanical systems, especially under conditions of modal coupling and damping, by emphasizing key signal features.

Contribution

It provides a comparative review of continuous wavelet transform applications for modal identification, highlighting their effectiveness in complex damping and coupling scenarios.

Findings

Wavelet transform emphasizes main signal features for modal analysis

Enhanced identification of modal parameters in damped, coupled systems

Wavelet-based methods improve robustness of modal identification

Abstract

This paper reviews two different uses of the continuous wavelet transform for modal identification purposes. The properties of the wavelet transform, mainly energetic, allow to emphasize or filter the main information within measured signals and thus facilitate the modal parameter identification especially when mechanical systems exhibit modal coupling and/or relatively strong damping.