期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
基于深度学习的铁路信号传输节点异常干扰预测
1
作者 朱德华 《无线互联科技》 2024年第19期96-98,共3页
针对铁路信号传输过程中频率波动导致的预测误差问题,文章设计了一种基于深度学习的异常干扰预测方法。该方法全面获取节点干扰数据,利用数据处理技术提取关键特征,反映信号异常情况。基于深度学习算法,文章构建了干扰信号异常检测框架... 针对铁路信号传输过程中频率波动导致的预测误差问题,文章设计了一种基于深度学习的异常干扰预测方法。该方法全面获取节点干扰数据,利用数据处理技术提取关键特征,反映信号异常情况。基于深度学习算法,文章构建了干扰信号异常检测框架,自动学习和识别异常模式。通过实时数据输入,该框架能迅速输出预测结果,准确预测异常干扰。实验证明,该方法平均预测误差距离为50.5 kHz,相比对照组降低85 kHz以上,实现了对铁路信号传输节点异常干扰的精准预测,为铁路安全稳定运行提供了有力保障。 展开更多
关键词 学习模型 铁路信号 传输节点 异常干扰预测 时域偏度
下载PDF
Amplitude preserved VSP reverse time migration for angle-domain CIGs extraction 被引量:2
2
作者 孙文博 孙赞东 朱兴卉 《Applied Geophysics》 SCIE CSCD 2011年第2期141-149,177,178,共11页
An improved method of generating angle-domain common-image gathers(ADCIGs) by VSP reverse time migration(RTM) is introduced in this paper.The formula which is used to compute the receiver wavefield for VSP RTM is ... An improved method of generating angle-domain common-image gathers(ADCIGs) by VSP reverse time migration(RTM) is introduced in this paper.The formula which is used to compute the receiver wavefield for VSP RTM is modified by adding an amplitude correction term in order to conveniently output amplitude-preserved ADCIGs.Compared with the surface seismic data,VSP data contains much richer wavefields.However,the direct and downgoing waves can bring about serious imaging artifacts in ADCIGs,especially the direct wave.The feasibility and validity of this method is demonstrated by both numerical and real VSP data from western China.Thus,the ADCIGs from this method can provide reliable basic data for VSP migration velocity analysis,VSP AVO/AVA analysis,and inversion. 展开更多
关键词 VSP reverse time migration angle-domain common-image gathers(ADCIGs) amplitude preservation
下载PDF
Extraction of P-and S-wave angle-domain common-image gathers based on first-order velocity-dilatation-rotation equations 被引量:1
3
作者 Li Kai-Rui He Bing-Shou 《Applied Geophysics》 SCIE CSCD 2020年第1期92-102,169,共12页
Accuracy of angle-domain common-image gathers(ADCIGs)is the key to multiwave AVA inversion and migration velocity analysis,and of which Poynting vectors of pure P-and S-wave are the decisive factors in obtaining multi... Accuracy of angle-domain common-image gathers(ADCIGs)is the key to multiwave AVA inversion and migration velocity analysis,and of which Poynting vectors of pure P-and S-wave are the decisive factors in obtaining multi-component seismic data ADCIGs.A Poynting vector can be obtained from conventional velocity-stress elastic wave equations,but it focused on the propagation direction of mixed P-and S-wave fields,and neither on the propagation direction of the P-wave nor the direction of the S-wave.The Poynting vectors of pure P-or pure S-wave can be calculated from first-order velocity-dilatation-rotation equations.This study presents a method of extracting ADCIGs based on first order velocitydilatation-rotation elastic wave equations reverse-time migration algorithm.The method is as follows:calculating the pure P-wave Poynting vector of source and receiver wavefields by multiplication of P-wave particle-velocity vector and dilatation scalar,calculating the pure S-wave Poynting vector by vector multiplying S-wave particle-velocity vector and rotation vector,selecting the Poynting vector at the time of maximum P-wave energy of source wavefield as the propagation direction of incident P-wave,and obtaining the reflected P-wave(or converted S-wave)propagation direction of the receiver wavefield by the Poynting vector at the time of maximum P-(S-)wave energy in each grid point.Then,the P-wave incident angle is computed by the two propagation directions.Thus,the P-and S-wave ADGICs can obtained Numerical tests show that the proposed method can accurately compute the propagation direction and incident angle of the source and receiver wavefields,thereby achieving high-precision extraction of P-and S-wave ADGICs. 展开更多
关键词 first-order velocity-dilatation-rotation equations RTM Poynting vector ADCIGs
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部