There have been several methods for determining T wave-end. But none of them can overcome the difficulty from multiformity of ECG signal pattern. In this paper, a method for determining T wave-end using evolutionary a...There have been several methods for determining T wave-end. But none of them can overcome the difficulty from multiformity of ECG signal pattern. In this paper, a method for determining T wave-end using evolutionary algorithm (EA) is proposed. In this way, first, every characteristic parameter related to T wave-end is encoded to a string of codes, and adaptation function is constructed with the string of codes. Then choose the individual according to the adaptation function value and do genetic operation (reproduction, crossover and mutation), so as to produce offspring with more adaptation function value. Because of EA's autoadaptation and autoorganization character, it can trace ECG signal type and find the T wave-end automatically.Experiment results show that the error ratio of recognizing T wave-end using this method is much smaller than that using existing method.展开更多
针对全并联自耦变压器(auto-transformer,AT)牵引网故障点反射波波头微弱难辨识,且线路并联结构导致故障行波折反射复杂而造成定位困难的问题,提出基于变分模态分解(variational mode decomposition,VMD)和改进能量算子的牵引网故障行...针对全并联自耦变压器(auto-transformer,AT)牵引网故障点反射波波头微弱难辨识,且线路并联结构导致故障行波折反射复杂而造成定位困难的问题,提出基于变分模态分解(variational mode decomposition,VMD)和改进能量算子的牵引网故障行波单端定位方法。首先,深入分析牵引网故障行波的传输特性,研究全并联结构对行波折反射的影响,确定不同故障类型和潮流特征,以此为依据提取故障特征量,将波头辨识转化为能量突变值提取;随后,利用VMD去噪提取电压行波真实分量,再针对第二反射波波头微弱难标定问题,在滑动时间窗口(sliding time window,STW)下,结合对称差分能量算子(symmetrical differencing energy operator,SDEO)构造故障信号的二次瞬时能量谱,效果良好。仿真结果表明:所提方法抗过渡电阻能力强,能够反应不同工况下故障牵引网电磁能量的变化,具有较高的定位精度。展开更多
基金Supported by the National Nature Science Foundation of China (No. 39870211, 39970219)
文摘There have been several methods for determining T wave-end. But none of them can overcome the difficulty from multiformity of ECG signal pattern. In this paper, a method for determining T wave-end using evolutionary algorithm (EA) is proposed. In this way, first, every characteristic parameter related to T wave-end is encoded to a string of codes, and adaptation function is constructed with the string of codes. Then choose the individual according to the adaptation function value and do genetic operation (reproduction, crossover and mutation), so as to produce offspring with more adaptation function value. Because of EA's autoadaptation and autoorganization character, it can trace ECG signal type and find the T wave-end automatically.Experiment results show that the error ratio of recognizing T wave-end using this method is much smaller than that using existing method.
文摘针对全并联自耦变压器(auto-transformer,AT)牵引网故障点反射波波头微弱难辨识,且线路并联结构导致故障行波折反射复杂而造成定位困难的问题,提出基于变分模态分解(variational mode decomposition,VMD)和改进能量算子的牵引网故障行波单端定位方法。首先,深入分析牵引网故障行波的传输特性,研究全并联结构对行波折反射的影响,确定不同故障类型和潮流特征,以此为依据提取故障特征量,将波头辨识转化为能量突变值提取;随后,利用VMD去噪提取电压行波真实分量,再针对第二反射波波头微弱难标定问题,在滑动时间窗口(sliding time window,STW)下,结合对称差分能量算子(symmetrical differencing energy operator,SDEO)构造故障信号的二次瞬时能量谱,效果良好。仿真结果表明:所提方法抗过渡电阻能力强,能够反应不同工况下故障牵引网电磁能量的变化,具有较高的定位精度。
