Identification of Impact Location by Using Fiber Bragg Grating Based on Wavelet Transform and Support Vector Classifiers

2014 ◽  
Vol 41 (3) ◽  
pp. 0305006 ◽  
Author(s):  
路士增 Lu Shizeng ◽  
姜明顺 Jiang Mingshun ◽  
隋青美 Sui Qingmei ◽  
赛耀樟 Sai Yaozhang ◽  
曹玉强 Cao Yuqiang ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Fiber Bragg Grating ◽  
Support Vector ◽  
Bragg Grating ◽  
Impact Location

Wavelet Transform Based Peak Localization of Overlapped Fiber Bragg Grating Signal

2017 ◽  
Vol 54 (10) ◽  
pp. 100604
Author(s):  
李志斌 Li Zhibin ◽  
黄启韬 Huang Qitao ◽  
刘 畅 Liu Chang ◽  
熊 杰 Xiong Jie
Keyword(s):  
Wavelet Transform ◽  
Fiber Bragg Grating ◽  
Bragg Grating

scholarly journals Dynamic Deformation Reconstruction of Variable Section WING with Fiber Bragg Grating Sensors

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3350 ◽  
Author(s):  
Zhen Fu ◽  
Yong Zhao ◽  
Hong Bao ◽  
Feifei Zhao
Keyword(s):  
Finite Element ◽  
Fiber Bragg Grating ◽  
Real Time ◽  
Beam Theory ◽  
Reconstruction Algorithm ◽  
Support Vector ◽  
Bragg Grating ◽  
Variable Section ◽  
The Difference ◽  
Fuzzy Network

In order to monitor the variable-section wing deformation in real-time, this paper proposes a dynamic reconstruction algorithm based on the inverse finite element method and fuzzy network to sense the deformation of the variable-section beam structure. Firstly, based on Timoshenko beam theory and inverse finite element framework, a deformation reconstruction model of variable-section beam element was established. Then, considering the installation error of the fiber Bragg grating (FBG) sensor and the dynamic un-modeled error caused by the difference between the static model and dynamic model, the real-time measured strain was corrected using a solidified fuzzy network. The parameters of the fuzzy network were learned using support vector machines to enhance the generalization ability of the fuzzy network. The loading deformation experiment shows that the deformation of the variable section wing can be reconstructed with the proposed algorithm in high precision.

Damage degree prediction method of CFRP structure based on fiber Bragg grating and epsilon-support vector regression

Optik ◽  
2019 ◽  
Vol 180 ◽  
pp. 244-253 ◽  
Author(s):  
Shizeng Lu ◽  
Mingshun Jiang ◽  
Xiaohong Wang ◽  
Hongliang Yu ◽  
Chenhui Su
Keyword(s):  
Support Vector Regression ◽  
Fiber Bragg Grating ◽  
Prediction Method ◽  
Support Vector ◽  
Bragg Grating ◽  
Damage Degree

Impact source identification for pipe structure based on a one-dimensional fiber Bragg grating sensor array

2017 ◽  
Vol 28 (12) ◽  
pp. 1662-1669 ◽  
Author(s):  
Yeon-Gwan Lee ◽  
Chun-Gon Kim
Keyword(s):  
Fiber Bragg Grating ◽  
Source Identification ◽  
Sensor Array ◽  
Bragg Grating ◽  
One Dimensional ◽  
Fiber Bragg Grating Sensors ◽  
Sensor Arrangement ◽  
Impact Location ◽  
Bragg Grating Sensor ◽  
The Impact

This article presents a spatial impact source identification based on a one-dimensional fiber Bragg grating sensor array for application in tubular structures. The effective number of sensors and the sensor arrangement method were investigated for the plumbing pipe structure as the application subject. The fiber Bragg grating sensors were used to determine the impact location via the signal processing of the measured acoustic emission signals with a sampling frequency of 100 kHz. The root mean squared value–based algorithm, which was newly verified for a stiffened composite structure, was employed to identify the impact source in this article. Impact source identification was implemented according to the sensor arrangement and number of sensors, which were selectively used on the pipe structure among six multiplexed fiber Bragg grating sensors in one optical fiber line. This process shows that impact location detection is possible with only a one-dimensional sensor array compared to the results of a two-dimensional sensor array. The impact location could be predicted within a maximum error range of 31.12 mm, even if only one sensor was used to identify the impact source.

Extraction of Interference Signal of Weak Reflection Fiber Bragg Grating by Wavelet Transform

2020 ◽  
Vol 57 (19) ◽  
pp. 190603
Author(s):  
丁朋 Ding Peng ◽  
黄俊斌 Huang Junbin ◽  
汪云云 Wang Yunyun ◽  
刘文 Liu Wen ◽  
顾宏灿 Gu Hongcan ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Fiber Bragg Grating ◽  
Bragg Grating ◽  
Interference Signal ◽  
Weak Reflection

Damage Detection in CFRP Bonded Structures by Using Fiber Bragg Grating Sensors as Ultrasonic Wave Receivers

2007 ◽  
Vol 334-335 ◽  
pp. 1137-1140
Author(s):  
Nobuo Takeda ◽  
Y. Okabe ◽  
J. Kuwahara ◽  
Toshimichi Ogisu ◽  
Seiji Kojima
Keyword(s):  
Wavelet Transform ◽  
Damage Detection ◽  
Fiber Bragg Grating ◽  
Correlation Coefficient ◽  
Ultrasonic Wave ◽  
Detection System ◽  
Damage Index ◽  
Adhesive Layer ◽  
Ultrasonic Waves ◽  
Bragg Grating

The authors developed a damage detection system that generates ultrasonic waves with a piezo-ceramic actuator and receives them by a fiber Bragg grating (FBG) sensor. In this research, this system was applied to evaluate debonding progress in CFRP skin/stringer bonded structures. FBG sensors were bonded on the stringer or embedded in the adhesive layer. Then, ultrasonic wave at 300kHz was propagated through the debonded region, and the wavelet transform was applied to the received waveform. After that, a new damage indexand a correlation coefficient were calculated from the distribution of the wavelet transform coefficient. As a result, the damage index increased and the correlation coefficient decreased with an increase in the debonded area. Hence the length of the debonding between the skin and the stringer could be well evaluated.

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