Abstract

In practical application, carbon fiber reinforced plastics (CFRP) structures are easy to appear all sorts of invisible damages. So the damages should be timely located and detected for the safety of CFPR structures. In this paper, an acoustic emission (AE) localization system based on fiber Bragg grating (FBG) sensing network and support vector regression (SVR) is proposed for damage localization. AE signals, which are caused by damage, are acquired by high speed FBG interrogation. According to the Shannon wavelet transform, time differences between AE signals are extracted for localization algorithm based on SVR. According to the SVR model, the coordinate of AE source can be accurately predicted without wave velocity. The FBG system and localization algorithm are verified on a 500 mm×500 mm×2 mm CFRP plate. The experimental results show that the average error of localization system is 2.8 mm and the training time is 0.07 s.

Details

Title
Acoustic emission localization based on FBG sensing network and SVR algorithm
Author
Sai, Yaozhang; Zhao, Xiuxia; Hou, Dianli; Jiang, Mingshun
Pages
48-54
Publication year
2017
Publication date
Jan 2017
Publisher
Springer Nature B.V.
ISSN
16749251
e-ISSN
21907439
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1870222947
Copyright
Photonic Sensors is a copyright of Springer, 2017.