Abstract
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.
基金项目
National Key Research and Development Program for Young Scientists(2021YFC2900400)
Postdoctoral Fellowship Program of China Postdoctoral Science Foundation(CPSF)(GZB20230914)
National Natural Science Foundation of China(52304123)
China Postdoctoral Science Foundation(2023M730412)
Chongqing Outstanding Youth Science Foundation Program(CSTB2023NSCQ-JQX0027)
NETL
NSTL
万方数据