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

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外文摘要：Monitoring sensors in complex engineering environments often record abnormal data,leading to signif-icant 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 sys-tem 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(rela-tive error of 7.59％),compared to 23.56,66.09,16.95,and 28.52 m for other methods.This research is sig-nificant 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.

外文关键词：

Microseismic source/acoustic emission(MS/AE)Kernel density estimation(KDE)Damping linear correctionSource locationAbnormal arrivals

作者：

Jie Chen、Huiqiong Huang、Yichao Rui、Yuanyuan Pu、Sheng Zhang、Zheng Li、Wenzhong Wang

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作者单位：

State Key Laboratory of Coal Mine Disaster Dynamics and Control,Chongqing University,Chongqing 400044,China

School of Resources and Safety Engineering,Chongqing University,Chongqing 400044,China

School of Resources and Safety Engineering,Central South University,Changsha 410083,China

Chongqing City Construction Investment Group Co.,Ltd.,Chongqing 400023,China

Coal Geological Exploration Institute of Gansu,Lanzhou 730000,China

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基金：

National Key Research and Development Program for Young ScientistsPostdoctoral Fellowship Program of China Postdoctoral Science Foundation(CPSF)National Natural Science Foundation of ChinaChina Postdoctoral Science FoundationChongqing Outstanding Youth Science Foundation Program

项目编号：

2021YFC2900400GZB20230914523041232023M730412CSTB2023NSCQ-JQX0027

出版年：

2024

DOI：

10.1016/j.ijmst.2024.07.005

矿业科学技术学报(英文版)

中国矿业大学

矿业科学技术学报(英文版)

CSTPCDEI

影响因子：1.222

ISSN：2095-2686

年,卷(期)：2024.34(7)