Impact detection using ultrasonic waves based on artificial immune system

Keisuke Okamoto, Akira Mita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a structural health monitoring system for judging structural condition of metallic plates by analyzing ultrasonic waves. Many critical accidents of structures like buildings and aircrafts are caused by small structural errors; cracks and loosened bolts etc. This is a reason why we need to detect little errors at an early stage. Moreover, to improve precision and to reduce cost for damage detection, it is necessary to build and update the database corresponding to environmental change. This study focuses our attention on the automatable structures, specifically, applying artificial immune system (AIS) algorithm to determine the structure safe or not. The AIS is a novelty computational detection algorithm inspired from biological defense system, which discriminates between self and non-self to reject nonself cells. Here, self is defined to be normal data patterns and non-self is abnormal data patterns. Furthermore, it is not only pattern recognition but also it has a storage function. In this study, a number of impact resistance experiments of duralumin plates, with normal structural condition and abnormal structural condition, are examined and ultrasonic waves are acquired by AE sensors on the surface of the aluminum plates. By accumulating several feature vectors of ultrasonic waves, a judging method, which can determine an abnormal wave as nonself, inspired from immune system is created. The results of the experiments show good performance of this method.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume7292
EditionPART 1
DOIs
Publication statusPublished - 2009
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009 - San Diego, CA, United States
Duration: 2009 Mar 92009 Mar 12

Other

OtherSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009
CountryUnited States
CitySan Diego, CA
Period09/3/909/3/12

Fingerprint

immune systems
Ultrasonic Wave
Artificial Immune System
Immune system
Ultrasonic waves
ultrasonic radiation
Aluminum copper alloys
aircraft structures
impact resistance
bolts
Damage Detection
Impact resistance
structural health monitoring
Damage detection
Structural health monitoring
Immune System
Health Monitoring
Bolts
accidents
Feature Vector

Keywords

  • Acoustic emission
  • Artificial immune system
  • Damage detection
  • Negative selection
  • Pattern classification
  • Ultrasonic wave method

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Okamoto, K., & Mita, A. (2009). Impact detection using ultrasonic waves based on artificial immune system. In Proceedings of SPIE - The International Society for Optical Engineering (PART 1 ed., Vol. 7292). [72920K] https://doi.org/10.1117/12.815271

Impact detection using ultrasonic waves based on artificial immune system. / Okamoto, Keisuke; Mita, Akira.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7292 PART 1. ed. 2009. 72920K.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Okamoto, K & Mita, A 2009, Impact detection using ultrasonic waves based on artificial immune system. in Proceedings of SPIE - The International Society for Optical Engineering. PART 1 edn, vol. 7292, 72920K, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009, San Diego, CA, United States, 09/3/9. https://doi.org/10.1117/12.815271
Okamoto K, Mita A. Impact detection using ultrasonic waves based on artificial immune system. In Proceedings of SPIE - The International Society for Optical Engineering. PART 1 ed. Vol. 7292. 2009. 72920K https://doi.org/10.1117/12.815271
Okamoto, Keisuke ; Mita, Akira. / Impact detection using ultrasonic waves based on artificial immune system. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7292 PART 1. ed. 2009.
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