Theory of Quadratic TFDs00Author: Boualem Boashash, Signal Processing Research Centre, Queensland University of Technology, Brisbane, Australia. Reviewers: K. Abed-Meraim, A. Beghdadi, M. Mesbah, G. Putland and V. Sucic.

Boashash, Boualem

doi:10.1016/b978-008044335-5/50024-3

Cited by 4 publications

(1 citation statement)

References 25 publications

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“…The Wigner-Ville distribution (WVD) (Boashash 2003;Cohen 1995) has been increasingly adopted based on its inherent TFR fundamentals. Additionally, the approach does not employ any windowing function except for its autocorrelation, as follows:…”

Section: Scalogram and Spectrogrammentioning

confidence: 99%

Vibration Response-Based Damage Detection

Limongelli

Manoach

Quqa

et al. 2021

Springer Aerospace Technology

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This chapter aimed to present different data driven Vibration-Based Methods (VBMs) for Structural Health Monitoring (SHM). This family of methods, widely used for engineering applications, present several advantages for damage identification applications. First, VBMs provide continuous information on the health state of the structure at a global level without the need to access the damaged elements and to know their location. Furthermore, damage can be identified using the dynamic response of the structure measured by sensors non-necessarily located in the proximity of damage and without any prior knowledge about the damage location. By principle, VBMs can identify damage related to changes in the dynamic properties of structures, such as stiffness variations due to modifications in the connections between structural elements, or changes in geometric and material properties. A classification of different VBMs was presented in this chapter. Furthermore, several case studies were presented to demonstrate the potential of these methods.

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Section: Scalogram and Spectrogrammentioning

confidence: 99%