Application of dynamic multi-swarm particle swarm optimization and sparse&nbsp;decomposition in ultrasonic thickness measurement of thin coating#br#

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Journal of Vibration and Shock ›› 2025, Vol. 44 ›› Issue (1) : 61-69.

VIBRATION THEORY AND INTERDISCIPLINARY RESEARCH

Application of dynamic multi-swarm particle swarm optimization and sparse decomposition in ultrasonic thickness measurement of thin coating#br#

LIU Yiyi1, HUANG Hua1, WANG Zhigang2, WANG Haitao3, LU Chao1, LI Qiufeng*1

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Abstract

Based on the sparse decomposition matching pursuit algorithm, the ultrasonic testing signal of the protective coating of fabricated steel structures is represented in the over complete Gabor time-frequency library, and the time domain information of the coating is further extracted to obtain the thickness information of the coating. In order to solve the problem of high complexity and huge computation of the matching pursuit algorithm, the dynamic multi swarm particle swarm optimization algorithm is used to optimize the matching pursuit algorithm. The inertia weights are generated based on the chaotic strategy, and the learning factor and inertia weights are coupled together with an over trigonometric relationship, while the time factor and the influence factor of the chaotic perturbation strategy are added in the position update, balancing the local search and global search ability of the algorithm. Simulations and experiments show that the improved algorithm has greatly improved the detection accuracy, which can satisfy the practical applications, and has greatly improved the efficiency of the sparse decomposition operation, and compared with the metallographic inspection results, the relative error of the detection of the fireproof coating is -4.65%, and that of the detection of the anticorrosive coating is 1.33%.

Key words

protective coatings / ultrasonic testing / sparse decomposition / chaos disturbance / dynamic multi-group particle swarm algorithm

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LIU Yiyi1, HUANG Hua1, WANG Zhigang2, WANG Haitao3, LU Chao1, LI Qiufeng1. Application of dynamic multi-swarm particle swarm optimization and sparse decomposition in ultrasonic thickness measurement of thin coating#br#[J]. Journal of Vibration and Shock, 2025, 44(1): 61-69

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