首页|A novel AE source localization method using clustering detection to eliminate abnormal arrivals
A novel AE source localization method using clustering detection to eliminate abnormal arrivals
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
万方数据
维普
Due to the significant effect of abnormal arrivals on localization accuracy,a novel acoustic emission (AE)source localization method using clustering detection to eliminate abnormal arrivals is proposed in the paper.Firstly,iterative weight estimation is utilized to obtain accurate equation residuals.Secondly,according to the distribution of equation residuals,clustering detection is used to identify and exclude abnormal arrivals.Thirdly,the AE source coordinate is recalculated with remaining normal arrivals.Experimental results of pencil-lead breaks indicate that the proposed method can achieve a better local-ization result with and without abnormal arrivals.The results of simulation tests further demonstrate that the proposed method possesses higher localization accuracy and robustness under different anomaly ratios and scales;even with abnormal arrivals as high as 30％,the proposed localization method still holds a correct detection rate of 91.85％.
NETL
NSTL
万方数据
维普
