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| 1 | 基于到时差值的微震波异常信号识别方法显示文摘延迟信号和外部异常信号严重影响微震震源定位精度,为了对它们进行有效识别,基于震源定位理论和微震台网几何特性,建立震源定位的双曲线和双曲面控制方程,揭示到时不同震源定位方法所确定的震源轨迹是一系列二维平面中的双曲线或三维空间中的双曲面,且双曲线或双曲面的形状和位置与到时差值密切相关。论证传感器观测到时之间存在P波到时差值理论极限和延迟信号到时差值理论极限,根据到时差值、微震台网布设和监测空间几何特征,构建2种理论极限的求解模型,建立到时差值分析表,提出根据观测到时差值和2种到时差值理论极限内在关系识别延迟信号和外部异常信号的全新方法。现场爆破实验表明:基于到时差值的微震波异常信号识别方法能够对延迟信号和外部异常信号进行有效识别,在剔除2种异常信号后的震源定位精度得到极大提高,实现对震源的高精度定位,满足现场微震监测需求。 | 李楠 王恩元 GE Maochen 孙珍玉 李保林 | 2014 | 岩石力学与工程学报2014，33，8： | 12 |
| 2 | 微震震源定位可靠性综合评价模型显示文摘微震震源定位受定位方法、微震台网布置、波速模型和到时等因素的影响,单一指标很难对震源定位结果进行全面评价,因此提出了一种包含事件残差指标、敏感度指标和触发序列指标的震源定位可靠性综合评价方法。采用改进的L1范数统计准则计算微震事件残差,并根据事件残差的取值范围确定了可评价震源定位精度的事件残差指标;根据给定波速误差后震源定位结果之间差值的大小,提出了敏感度指标,主要对定位稳定性进行评价;基于观测触发序列和计算触发序列匹配度,并结合微震台网布置和有效传感器数量,提出了触发序列指标,该指标能够同时反映定位精度和稳定性;综合以上3种评价指标,建立了微震震源定位可靠性综合评价模型。通过现场试验验证,表明该模型能够对定位精度和稳定性进行全面有效评价,评价结果可以作为衡量微震监测系统定位可靠性的实用依据。 | 李楠 王恩元 GE Maochen 刘晓斐 孙珍玉 | 2013 | 煤炭学报2013，38，11： | 10 |
| 3 | Source location error analysis and optimization methods显示文摘The efficiency of an optimization method for acoustic emission/microseismic(AE/MS) source location is determined by the compatibility of its error definition with the errors contained in the input data.This compatibility can be examined in terms of the distribution of station residuals.For an ideal distribution,the input error is held at the station where it takes place as the station residual and the error is not permitted to spread to other stations.A comparison study of two optimization methods,namely the least squares method and the absolute value method,shows that the distribution with this character constrains the input errors and minimizes their impact,which explains the much more robust performance by the absolute value method in dealing with large and isolated input errors.When the errors in the input data are systematic and/or extreme in that the basic data structure is altered by these errors,none of the optimization methods are able to function.The only means to resolve this problem is the early detection and correction of these errors through a data screening process.An efficient data screening process is of primary importance for AE/MS source location.In addition to its critical role in dealing with those systematic and extreme errors,data screening creates a favorable environment for applying optimization methods. | Maochen Ge | 2012 | Journal of Rock Mechanics and Geotechnical Engineering2012，4，1： | 8 |
| 4 | Enhancing manual P-phase arrival detection and automatic onset time picking in a noisy microseismic data in underground mines显示文摘Accurate detection and picking of the P-phase onset time in noisy microseismic data from underground mines remains a big challenge. Reliable P-phase onset time picking is necessary for accurate source location needed for planning and rescue operations in the event of failures. In this paper, a new technique based on the discrete stationary wavelet transform(DSWT) and higher order statistics is proposed for processing noisy data from underground mines. The objectives of this method are to(i) improve manual detection and picking of P-phase onset; and(ii) provide an automatic means of detecting and picking P-phase onset time accurately. The DSWT is first used to filter the signal over several scales. The manual P-phase onset detection and picking are then obtained by computing the signal energy across selected scales with frequency bands that capture the signal of interest. The automatic P-phase onset, on the other hand, is achieved by using skewness-and kurtosis-based criterion applied to selected scales in a time-frequency domain. The method was tested using synthetic and field data from an underground limestone mine. Results were compared with results obtained by using the short-term to long-term average(STA/LTA) ratio and that by Reference Ge et al.(2009). The results show that the method provides a more reliable estimate of the P-phase onset arrival than the STA/LTA method when the signal to noise ratio is very low. Also, the results obtained from the field data matched accurately with the results from Reference Ge et al.(2009). | Mborah Charles Ge Maochen | 2018 | International Journal of Mining Science and Technology2018，28，4： | 3 |
| 5 | Acoustic emission/microseismic source location analysis for a limestone mine exhibiting high horizontal stresses 显示文摘 | Hongliang Wang Maochen Ge | 2008 | International Journal of Rock Mechanics and Mining Sciences2008，45，5： | 1 |
| 6 | Efficient mine microseismic monitoring显示文摘 | Maochen Ge | 2005 | International Journal of Coal Geology2005，，1： | 1 |
| 7 | Efficient mine microseismic monitoring显示文摘 | MAOCHEN GE | 2005 | International Journal of Coal Geology2005，64，12： | 1 |
| 8 | Efficient mine microseismic monitoring 显示文摘 | Maochen Ge | 2005 | International Journal of Coal Geology2005，64，： | 1 |
| 9 | Acoustic emission/micmseismic source location analysis for a limestone mine exhibiting high hori- zontal stresses 显示文摘 | Hongliang Wang Maochen Ge | 2008 | International Journal of Rock Mechanics & Mining Sciences2008，45，： | 1 |
| 10 | Efficient mine microseismic monitoring 显示文摘 | Maochen Ge | 2005 | Interna- tional Journal of Coal Geo|ogy2005，51，： | 1 |
| 11 | Efficient mine microseismic monitoring 显示文摘 | Maochen Ge | 2005 | Interna- tional Journal of Coal Geology2005，，64： | 1 |
| 12 | Acoustic emission/microseismic source location analysis for a limestone mine exhibiting high horizontal stresses显示文摘 | Hongliang Wang Maochen Ge | 2007 | International Journal of Rock Mechanics and Mining Sciences2007，，5： | 1 |
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