Simplified Estimation Algorithms for Aircraft Structural Damage Effects Using an Artificial Immune System

2015 ◽  
Vol 8 (4) ◽  
pp. 118
Author(s):  
Mario George Perhinschi ◽  
Dia Al Azzawi ◽  
Hever Moncayo
Keyword(s):  
Immune System ◽  
Structural Damage ◽  
Artificial Immune System ◽  
Artificial Immune ◽  
Estimation Algorithms

Structural Damage Assessment using an Artificial Immune System

2015 ◽  
pp. 86-102
Author(s):  
Maribel Anaya Vejar ◽  
Diego Alexander Tibaduiza Burgos ◽  
Francesc Pozo
Keyword(s):  
Principal Component Analysis ◽  
Immune System ◽  
Damage Assessment ◽  
Structural Damage ◽  
Artificial Immune System ◽  
Principal Component ◽  
Second Step ◽  
Artificial Immune ◽  
Current State ◽  
Using Data

Structural damage assessment methodologies allow providing knowledge about the current state of the structure. This information is important because allows to avoid possible accidents and perform maintenance tasks in the structure. This chapter proposes the use of an artificial immune system to detect and classify damages in structures by using data from a multi-actuator piezoelectric system that is working in several actuation phases. In a first step of the methodology, principal component analysis (PCA) is used to build a baseline model by using the collected data. In a second step, the same experiments under similar conditions are performed with the structure in different states (damaged or not). These data are projected into the different baseline models for each actuator, in order to obtain the damages indices and build the antigens. The antigens are compared with the antibodies by using an affinity function and the result of this process allows detecting and classifying damages.

Improved pattern recognition with complex artificial immune system

2009 ◽  
Vol 13 (12) ◽  
pp. 1209-1217 ◽  
Author(s):  
Wei Wang ◽  
Shangce Gao ◽  
Zheng Tang
Keyword(s):  
Pattern Recognition ◽  
Immune System ◽  
Artificial Immune System ◽  
Artificial Immune
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