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 publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009
EditionPART 1
DOIs
Publication statusPublished - 2009 Dec 1
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009 - San Diego, CA, United States
Duration: 2009 Mar 92009 Mar 12

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
NumberPART 1
Volume7292
ISSN (Print)0277-786X

Other

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

Keywords

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

ASJC Scopus subject areas

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

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  • Cite this

    Okamoto, K., & Mita, A. (2009). Impact detection using ultrasonic waves based on artificial immune system. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009 (PART 1 ed.). [72920K] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7292, No. PART 1). https://doi.org/10.1117/12.815271