Damage detection using multivariate recurrence quantification analysis

By J. Nichols, S. Trickey, M. Seaver. 2006

110 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Statistical and Nonlinear Physics, Signal Processing

View Paper: https://www.semanticscholar.org/paper/1d3a37af7302280ec294fffff50a04de2a44656a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Emil Manoach
2. I. Trendafilova
3. Jürgen Kurths
4. Yong Zou
5. Wieslaw J. Staszewski

In Statistical and Nonlinear Physics

1. Norbert Marwan
2. Yong Zou
3. Reik V. Donner
4. Jonathan F. Donges
5. Jürgen Kurths
6. Emil Manoach
7. I. Trendafilova
8. Cornelis J. Stam

In Signal Processing

1. Norbert Marwan
2. Jürgen Kurths
3. Emil Manoach
4. I. Trendafilova
5. Yong Zou
6. Jonathan F. Donges
7. Reik V. Donner

Citations in the corpus

• Vibration-based damage detection in plates by using time series analysis (2008, methodology): “It can be proven and there is enough evidence that the distribution of points on the attractor and its geometry are rather sensitive to even small changes in the system including damage [4–7].”
• Detection of changes in cracked aluminium plate determinism by recurrence analysis (2012, background): “Less common approaches rely on the analysis of chaos [8–10], bifurcation [11, 12], self-similarity [13], or determinism [14].”
• Complex network approach for recurrence analysis of time series (2009, background): “Meanwhile this technique has been the subject of much interest from various disciplines [6] and it has been successfully applied to a number of areas: the detection of dynamical transitions [7, 8] and synchronisation [9], the study of protein structures [10, 11] and in cardiac and bone health condit”