Acoustic Emission Source Localization System Using Fiber Bragg Grating Sensors and a Barycentric Coordinate-Based Algorithm

Structures and machines are very susceptible to some barely visible defects; acoustic emission (AE) is an effective technique of detecting defects and examining growth and location of these defects. In this paper, a new method was proposed to predict the position of the AE source. The dynamic strain...

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Bibliographic Details
Published in:Journal of sensors 2018-01, Vol.2018 (2018), p.1-8
Main Authors: Sun, Rongyao, Sai, Yaozhang, Wang, Ming, Sui, Qingmei, Pang, Dandan, Wang, Yikang
Format: Article
Language:English
Subjects:
Acoustic emission
Algorithms
Defects
Localization
Morlet wavelet
Narrowband
Neural networks
Plates (structural members)
Position (location)
Sensors
Signal processing
Wavelet transforms
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Summary:Structures and machines are very susceptible to some barely visible defects; acoustic emission (AE) is an effective technique of detecting defects and examining growth and location of these defects. In this paper, a new method was proposed to predict the position of the AE source. The dynamic strain signal from the AE source was acquired by fiber Bragg grating (FBG) sensors. Complex Morlet wavelet transform was used to extract narrowband signals from AE waves. It was proposed that the barycentric coordinate-based localization algorithm can be used to predict the coordinates of the AE source. The validation tests based on the designed AE detection system were performed on a 500 mm × 500 mm × 2 mm Al-alloy plate. The experimental results show that the proposed method is feasible.
ISSN:1687-725X
1687-7268
DOI:10.1155/2018/9053284