Protective coating thickness measurement based on genetic algorithm optimization in sparse decomposition
LIU Yiyi1, CHEN Yao1, LI Qiufeng1, WANG Zhigang2, WANG Haitao3
1. MOE Key Lab of Nondestructive Testing, Nanchang Hangkong University, Nanchang 330063, China;
2. Nanchang Architecture Science Institute Co., Ltd., Nanchang 330096, China;
3.The Second Construction Co., Ltd., China Construction First Bureau Group, Beijing 100161, China
Abstract:In the simulation experiment of using high-frequency ultrasonic water immersion method to detect the thickness of protective coatings of assembled steel structures, the interfacial reflected echoes of the protective coatings are overlapped with each other, resulting in the inability to extract the time-domain information of the coatings, and the genetic algorithm-based optimization of the matching tracking process in the sparse decomposition is used to separate and reconstruct the overlapped signals. The algorithm optimizes the search process of the optimal atomic parameters in the constructed Gabor atom library by using genetic algorithm, and optimizes the inner product operation in the traditional sparse decomposition matching tracking algorithm to a mutual correlation operation, thus optimizing the operational efficiency of the sparse decomposition. Compared with the results of metallographic inspection of coating thickness, the inspection relative error of this improved algorithm is 2.50%, which is within the acceptable range and has a higher detection accuracy than the traditional sparse decomposition matching tracking algorithm with a large inspection relative error of 5.01%, while the computing speed is greatly improved.
刘易奕1,陈尧1,李秋锋1,王志刚2,王海涛3. 基于遗传算法优化稀疏分解的防护涂层测厚研究[J]. 振动与冲击, 2024, 43(11): 279-287.
LIU Yiyi1, CHEN Yao1, LI Qiufeng1, WANG Zhigang2, WANG Haitao3. Protective coating thickness measurement based on genetic algorithm optimization in sparse decomposition. JOURNAL OF VIBRATION AND SHOCK, 2024, 43(11): 279-287.
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