Acoustic emission beamforming localisation approach based on particle swarm optimisation

作者：Mu, Weilei; Qu, Wensheng; Liu, Guijie^*; Zou, Zhenxing; Liu, Peng

来源：Insight: Non-Destructive Testing and Condition Monitoring , 2018, 60(10): 575-580.

DOI：10.1784/insi.2018.60.10.575

• acoustic emission
• beamforming
• particle swarm optimisation
• localisation approach
• offshore structures

This study proposes a localisation approach for marine platform damage based on particle swarm optimisation (PSO) and acoustic emission beamforming. The proposed method aims to solve the problems of low precision and low computation efficiency associated with the traditional time difference of arrival (TDOA) method and the beamforming algorithm, respectively. The coordinates of the points in the region to be searched are coded and iterated through PSO to immediately search for the optimal solution as damage coordinates, thereby reducing the running time of the algorithm. Experimental results prove that the proposed localisation approach has reduced the error rate by 68% compared with TDOA. Moreover, the new method has reduced the positioning time by 75% compared with the beamforming algorithm. Therefore, the proposed method can improve execution efficiency while ensuring localisation precision, thereby providing practical values for real-time monitoring of marine platform damage.

• 出版日期2018-10
• 单位中国海洋大学