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False alarms in damage detection approaches
(2008-12-01)
Structural Health Monitoring (SHM) denotes a system with the ability to detect and interpret adverse changes in structures in order to improve reliability and reduce life-cycle costs. The greatest challenge for designing ...
A novel impact identification algorithm based on a linear approximation with maximum entropy
(2016)
This article presents a novel impact identification algorithm that uses a linear approximation handled by a statistical inference model based on the maximum-entropy principle, termed linear approximation with maximum entropy ...
Damage detection in beams by using artificial neural networks and dynamical parameters
(IMPRENTA UNIV ANTIOQUIAMEDELLIN, 2012-06)
In this paper is presented a multilayer perceptron neural network combined with the Nelder-Mead Simplex method to detect damage in multiple support beams. The input parameters are based on natural frequencies and modal ...
Impact location and quantification on an aluminum sandwich panel using principal component analysis and linear approximation with maximum entropy
(MDPI, 2017)
To avoid structural failures it is of critical importance to detect, locate and quantify impact damage as soon as it occurs. This can be achieved by impact identification methodologies, which continuously monitor the ...
A new strategy for damage identification in SHM systems by exploring Kappa coefficient
(2017-01-01)
Recently, considerable research works have been conducted towards finding fast and accurate pattern classifiers for identifying structural damage when applied to Structural Health Monitoring (SHM) systems. In this way, ...
Structural Health Monitoring in Smart Structures Through Time Series Analysis
(Sage Publications LtdLondonInglaterra, 2008)