A Bioinspired Methodology Based on an Artificial Immune System for Damage Detection in Structural Health Monitoring

Structural damage detection using principal component analysis and damage indices

(2015) Diego A Tibaduiza et al.   JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES

A study of two unsupervised data driven statistical methodologies for detecting and classifying damages in structural health monitoring

(2013) D.-A. Tibaduiza et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A structural damage detection indicator based on principal component analysis and statistical hypothesis testing

(2013) L E Mujica et al.   Smart Materials and Structures

Emergent damage pattern recognition using immune network theory

(2013) Bo Chen et al.   Smart Structures and Systems

Relationships of swarm intelligence and artificial immune system

(2013) Renbin Xiao et al.   International Journal of Bio-Inspired Computation

Damage classification in structural health monitoring using principal component analysis and self-organizing maps

(2012) D. A. Tibaduiza et al.   Structural Control & Health Monitoring

An artificial immune system approach for fault detection in the stator and rotor circuits of induction machines

(2010) Z. Chilengue et al.   ELECTRIC POWER SYSTEMS RESEARCH

Agent-based artificial immune system approach for adaptive damage detection in monitoring networks

(2010) Bo Chen   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Fusion of clonal selection algorithm and harmony search method in optimisation of fuzzy classification systems

(2009) Xiaolei Wang et al.   International Journal of Bio-Inspired Computation

Structural damage detection by fuzzy clustering

(2008) Samuel da Silva et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING