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- W2380498633 abstract "According to the nonstationarity of mining machinery flaw signals in ultrasonic testing,the method used for defect identification based on WPT and Clustering Algorithm optimized GRBF.Focus on WPT extract the different defects characteristics and GRBF Algorithm classify the different flaws.Experimental study the mining machinery Welding flaws.Compared with the BP,experimental results shows that this algorithm has high accuracy of flaw classification." @default.
- W2380498633 created "2016-06-24" @default.
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- W2380498633 date "2012-01-01" @default.
- W2380498633 modified "2023-09-24" @default.
- W2380498633 title "A Method of Mining Machinery Flaw Identification Based on Clustering Algorithm Optimized GRBF" @default.
- W2380498633 hasPublicationYear "2012" @default.
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