A novel robust method for acoustic emission source location using DBSCAN principle. (15th March 2022) - Rui, Yichao
Abstract: Considering the significant effect of outliers on location accuracy, a novel robust method for acoustic emission (AE) source location using DBSCAN (Density-Based Spatial Clustering of Application with noise) principle is proposed in this paper. Firstly, source coordinates constrained by every five arrivals are calculated in closed form. Secondly, the DBSCAN process is used to cluster the coordinates. Thirdly, the usage frequency of arrivals in the cluster with the most coordinates is counted to determine "good" arrival measurements. Finally, the source coordinates are recalculated by using the "good" arrival measurements. AE testing experiment is carried out to verify the proposed method, and the results indicate that the method has higher accuracy of source location than the existing methods regardless of the presence of outliers. Simulation tests further show that the valid location rate of the new method approaches 100% even with a large outlier scale and ratio.