A Bioinspired Methodology Based on an Artificial Immune System for Damage Detection in Structural Health Monitoring
Joint Authors
Anaya, Maribel
Tibaduiza, Diego A.
Pozo, Francesc
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-05
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Among all the aspects that are linked to a structural health monitoring (SHM) system, algorithms, strategies, or methods for damage detection are currently playing an important role in improving the operational reliability of critical structures in several industrial sectors.
This paper introduces a bioinspired strategy for the detection of structural changes using an artificial immune system (AIS) and a statistical data-driven modeling approach by means of a distributed piezoelectric active sensor network at different actuation phases.
Damage detection and classification of structural changes using ultrasonic signals are traditionally performed using methods based on the time of flight.
The approach followed in this paper is a data-based approach based on AIS, where sensor data fusion, feature extraction, and pattern recognition are evaluated.
One of the key advantages of the proposed methodology is that the need to develop and validate a mathematical model is eliminated.
The proposed methodology is applied, tested, and validated with data collected from two sections of an aircraft skin panel.
The results show that the presented methodology is able to accurately detect damage.
American Psychological Association (APA)
Anaya, Maribel& Tibaduiza, Diego A.& Pozo, Francesc. 2015. A Bioinspired Methodology Based on an Artificial Immune System for Damage Detection in Structural Health Monitoring. Shock and Vibration،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1078256
Modern Language Association (MLA)
Anaya, Maribel…[et al.]. A Bioinspired Methodology Based on an Artificial Immune System for Damage Detection in Structural Health Monitoring. Shock and Vibration No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1078256
American Medical Association (AMA)
Anaya, Maribel& Tibaduiza, Diego A.& Pozo, Francesc. A Bioinspired Methodology Based on an Artificial Immune System for Damage Detection in Structural Health Monitoring. Shock and Vibration. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1078256
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078256