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Percussion and PSO-SVM-Based Damage Detection for Refractory Materials.

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第一作者： Dan,Yang

第一单位： Key Laboratory for Metallurgical Equipment and Control of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China.;Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.

作者： Dan,Yang ^[1] ; Yi,Peng ^[2] ; Ti,Zhou ^[3] ; Tao,Wang ^[4] ; Guangtao,Lu ^[1]

作者单位： Key Laboratory for Metallurgical Equipment and Control of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China.;Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China. ^[1] Key Laboratory for Metallurgical Equipment and Control of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China.;Precision Manufacturing Institute, Wuhan University of Science and Technology, Wuhan 430081, China. ^[2] Wuhan Digital Engineering Institute, Wuhan 430074, China. ^[3] Key Laboratory for Metallurgical Equipment and Control of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China. ^[4]

关键词 damage detection histogram of oriented gradient (HOG)local binary patterns (LBP)mel spectrogram particle swarm optimization (PSO)percussion refractory materials support vector machine (SVM)

DOI 10.3390/mi14010135

PMID 36677196

发布时间 2023-02-01

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