Classification of composite damage from FBG load monitoring signals

Aydin Rajabzadehdizaji*, Richard C. Hendriks, Richard Heusdens, Roger M. Groves

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)
42 Downloads (Pure)

Abstract

This paper describes a new method for the classification and identification of two major types of defects in composites, namely delamination and matrix cracks, by classification of the spectral features of fibre Bragg grating (FBG) signals. In aeronautical applications of composites, after a damage is detected, it is very useful to know the type of damage prior to determining the treatment method of the area or perhaps replacing the part. This was achieved by embedding FBG sensors inside a glass-fibre composite, and analysing the output signal from the sensors. The glass-fibre coupons were subjected to mode-I loading under tension-compression and static tests, in order to induce matrix cracks and delamination damages respectively. Afterwards, using wavelet features extracted from spectral measurements of the FBG sensors, classification of the damage type was carried out by means of support vector machines as a general classification tool with a quadratic kernel.

Original languageEnglish
Title of host publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017
Place of PublicationBellingham, WA
PublisherSPIE
Pages1-8
Number of pages8
ISBN (Electronic)9781510608214
DOIs
Publication statusPublished - 2017
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017 - Portland, United States
Duration: 26 Mar 201729 Mar 2017

Publication series

NameProceedings of SPIE
Volume10168
ISSN (Electronic)0277-786X

Conference

ConferenceSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017
CountryUnited States
CityPortland
Period26/03/1729/03/17

Keywords

  • classification
  • delamination
  • Fibre Bragg grating (FBG)
  • load monitoring
  • matrix crack
  • support vector machines (SVM)
  • wavelet features

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