Tag: linear approximation

Accepted Paper: Impact location and quantification on an aluminum sandwich panel using principal component analysis and linear approximation with maximum entropy

Paper Accepted for Publication in Entropy V. Meruane, P. Véliz, E. López Droguett, A. Ortiz-Bernardin, “Impact location and quantification on an aluminum sandwich panel using principal component analysis and linear approximation with maximum entropy.” ABSTRACT To avoid structural failures it is of critical importance to detect, locate and quantify impact damage as soon as it…

Impact location and quantification on an aluminum sandwich panel using principal component analysis and linear approximation with maximum entropy

Entropy 2017, 19(4), 137 V. Meruane, P. Véliz, E. López Droguett, A. Ortiz-Bernardin Abstract 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 structure, detecting, locating, and quantifying impacts as they occur….

Accepted Paper: A novel impact identification algorithm based on a linear approximation with maximum entropy

Paper Accepted for Publication in Smart Materials and Structures N. Sanchez, V. Meruane, A. Ortiz-Bernardin, “A novel impact identification algorithm based on a linear approximation with maximum entropy.” ABSTRACT 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…

A novel impact identification algorithm based on a linear approximation with maximum entropy

Smart Materials and Structures Volume 25, Issue 9, 24 August 2016, Pages 095050 N. Sanchez, V. Meruane, A. Ortiz-Bernardin Abstract 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 (LME). Unlike other regression algorithms…