Enhancing microseismic/acoustic emission source localization accuracy with an outlier-robust kernel density estimation approach  

作　　者：Jie Chen Huiqiong Huang Yichao Rui Yuanyuan Pu Sheng Zhang Zheng Li Wenzhong Wang 

机构地区：[1]State Key Laboratory of Coal Mine Disaster Dynamics and Control,Chongqing University,Chongqing 400044,China [2]School of Resources and Safety Engineering,Chongqing University,Chongqing 400044,China [3]School of Resources and Safety Engineering,Central South University,Changsha 410083,China [4]Chongqing City Construction Investment Group Co.,Ltd.,Chongqing 400023,China [5]Coal Geological Exploration Institute of Gansu,Lanzhou 730000,China

出　　处：《International Journal of Mining Science and Technology》2024年第7期943-956,共14页矿业科学技术学报（英文版）

基　　金：the financial support provided by the National Key Research and Development Program for Young Scientists(No.2021YFC2900400);Postdoctoral Fellowship Program of China Postdoctoral Science Foundation(CPSF)(No.GZB20230914);National Natural Science Foundation of China(No.52304123);China Postdoctoral Science Foundation(No.2023M730412);Chongqing Outstanding Youth Science Foundation Program(No.CSTB2023NSCQ-JQX0027).

摘　　要：Monitoring sensors in complex engineering environments often record abnormal data,leading to significant positioning errors.To reduce the influence of abnormal arrival times,we introduce an innovative,outlier-robust localization method that integrates kernel density estimation(KDE)with damping linear correction to enhance the precision of microseismic/acoustic emission(MS/AE)source positioning.Our approach systematically addresses abnormal arrival times through a three-step process:initial location by 4-arrival combinations,elimination of outliers based on three-dimensional KDE,and refinement using a linear correction with an adaptive damping factor.We validate our method through lead-breaking experiments,demonstrating over a 23%improvement in positioning accuracy with a maximum error of 9.12 mm(relative error of 15.80%)—outperforming 4 existing methods.Simulations under various system errors,outlier scales,and ratios substantiate our method’s superior performance.Field blasting experiments also confirm the practical applicability,with an average positioning error of 11.71 m(relative error of 7.59%),compared to 23.56,66.09,16.95,and 28.52 m for other methods.This research is significant as it enhances the robustness of MS/AE source localization when confronted with data anomalies.It also provides a practical solution for real-world engineering and safety monitoring applications.

关 键 词：Microseismic source/acoustic emission(MS/AE) Kernel density estimation(KDE) Damping linear correction Source location Abnormal arrivals 

分 类 号：P631.4[天文地球—地质矿产勘探]