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Leakage Source Localization Method for Aerospace Composite Structures Based on U-Array Wave Velocity-Compensated Beamforming.
Qi, Lei; Xu, Lixin; Sun, Lichen; Rui, Xiaobo; Cui, Yuhao; He, Xin; Zhang, Yu.
Afiliação
  • Qi L; Beijing Institute of Spacecraft Environment Engineering, Beijing 100094, China.
  • Xu L; State Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, China.
  • Sun L; Beijing Institute of Spacecraft Environment Engineering, Beijing 100094, China.
  • Rui X; State Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, China.
  • Cui Y; Beijing Institute of Spacecraft Environment Engineering, Beijing 100094, China.
  • He X; Beijing Institute of Spacecraft Environment Engineering, Beijing 100094, China.
  • Zhang Y; State Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, China.
Sensors (Basel) ; 23(13)2023 Jun 25.
Article em En | MEDLINE | ID: mdl-37447720
ABSTRACT
Composite materials have been widely used in spacecraft structures. Due to the harsh environment in space, gas leakage will occur in the structure, so it is necessary to locate the leakage position in time. In this paper, a beamforming localization method based on a U-shaped sensor array is studied. The array can be divided into two subarrays, which can orientate the direction of leakage sources, respectively. To solve the problem of uneven wave velocity caused by the anisotropy of composite materials, this method modifies the relationship between wave velocity and direction and combines it with the dispersion curve to select a filtering frequency band to reduce the influence of dispersion. The experiment simulates vacuum leakage by pumping holes with a diameter of 3 mm with a vacuum pump. The results show that the U-shaped array beamforming algorithm proposed in this paper can obtain a positioning error of 2.21 cm, which provides a new idea for the structural health detection of spacecraft.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article