Vibration-based damage assessment utilizing state space geometry changes: local attractor variance ratio

By M. Todd, J. Nichols, L. Pecora, L. Virgin. 2001

142 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Civil and Structural Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/798a977d8fdbd0c9212a7c06eadcf1e0a00e0f32

How researchers see this paper

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

In Artificial Intelligence

1. J. Nichols
2. S. Trickey
3. M. Seaver

In Civil and Structural Engineering

1. J. Nichols

In Statistical and Nonlinear Physics

1. J. Nichols
2. S. Trickey
3. M. Seaver
4. Emil Manoach
5. I. Trendafilova

Citations in the corpus

• A review of structural health monitoring literature 1996-2001 (2002, unknown): “[14, 15]).”
• Damage detection using multivariate recurrence quantification analysis (2006, background): “Previous work by the authors [23,24] has demonstrated that using chaos to interrogate a structure can be used effectively in applying attractor-based or phase space methods to SHM.”