A Joint Acoustic Emission Source Localization Method for Composite Materials

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Publicado en:Sensors vol. 23, no. 12 (2023), p. 5473
Autor Principal: Wang, Xiaoran
Outros autores: Yin, Fang, Wan, Zhishuai
Publicado:
MDPI AG
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Acceso en liña:Citation/Abstract
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100 1 |a Wang, Xiaoran  |u Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China 
245 1 |a A Joint Acoustic Emission Source Localization Method for Composite Materials 
260 |b MDPI AG  |c 2023 
513 |a Journal Article 
520 3 |a Damage localization methods for composite materials are a popular research topic at present. The time-difference-blind localization method and beamforming localization method are often individually utilized in the localization of the acoustic emission sources of composite materials. Based on the performances of the two methods, a joint localization method for the acoustic emission sources of composite materials is proposed in this paper. Firstly, the performance of the time-difference-blind localization method and the beamforming localization method were analyzed. Then, with the advantages and disadvantages of these two methods in mind, a joint localization method was proposed. Finally, the performance of the joint localization method was verified using simulations and experiments. The results show that the joint localization method can reduce the localization time by half compared with the beamforming localization method. At the same time, compared with the time-difference-blind localization method, the localization accuracy can be improved. 
653 |a Aircraft 
653 |a Propagation 
653 |a Velocity 
653 |a Accuracy 
653 |a Wind power 
653 |a Wavelet transforms 
653 |a Signal processing 
653 |a Nondestructive testing 
653 |a Sensors 
653 |a Methods 
653 |a Localization 
653 |a Acoustics 
653 |a Composite materials 
700 1 |a Yin, Fang  |u Beijing Institute of Control Engineering, Beijing 100076, China 
700 1 |a Wan, Zhishuai  |u Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China 
773 0 |t Sensors  |g vol. 23, no. 12 (2023), p. 5473 
786 0 |d ProQuest  |t Health & Medical Collection 
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