In this work,we propose a comprehensive theoretical framework for the multilevel NAND(NOT AND logic)flash memory,built upon the modified Student’s t distribution where the distortion of the threshold voltage caused b...In this work,we propose a comprehensive theoretical framework for the multilevel NAND(NOT AND logic)flash memory,built upon the modified Student’s t distribution where the distortion of the threshold voltage caused by the random telegraph noise,cell-to-cell interference and data retention noise are jointly considered.Based on the superposition modulation,we build a non-orthogonal multiuser communication model where a linear mapping is conducted between the verify voltages and binary antipodal symbols.Aimed at improving the storage efficiency,we propose an unequal amplitude mapping(UAM)solution by optimizing the weighting coefficients of verify voltages to intelligently adjust the width of each state.Moreover,the uniform storage efficiency region and sum storage efficiency of different labelings with various decoding schemes are discussed.Simulation results validate the effectiveness of our proposed UAM solution where an up to 20.9%storage efficiency gain can be achieved compared to the current used benchmark scheme.In addition,analytical and simulation results also demonstrate that the successive cancellation decoding outperforms other decoding schemes for all labelings.展开更多
新型配电系统柔性消弧装置及定位技术均需充分挖掘相电流暂态特征来实现选相、选线和故障定位。针对此问题,对新型配电系统单相接地故障相电流暂态分布特性进行分析,提出了一种基于相电流多维时频分布特征差异的新型配电系统单相接地故...新型配电系统柔性消弧装置及定位技术均需充分挖掘相电流暂态特征来实现选相、选线和故障定位。针对此问题,对新型配电系统单相接地故障相电流暂态分布特性进行分析,提出了一种基于相电流多维时频分布特征差异的新型配电系统单相接地故障定位新方法。依据故障相电流故障暂态量与非故障相电流故障暂态量的差异性,通过灰色关联度算法完成故障选相;对各出线始端监测点以及疑似故障馈线分支监测点的相电流暂态波形进行26维多维时频特征的提取,通过经方差优化的t-分布近邻嵌入算法(variance-optimized t-distributed stochastic neighbor embedding,VTSNE)进行筛选和降维,并对处理后的特征数据进行基于密度的有噪空间聚类算法(density-based special clustering of application with noise,DBSCAN)聚类完成故障选线和故障区段定位。该方法在某绿色港口10 kV新型配电系统模型中得到验证,在不同故障初相角、不同过渡电阻等故障场景下均可准确可靠定位故障位置,对采样同步精度及采样频率要求低,易于工程实现。展开更多
基金supported by Key Project of Sichuan Provincial Natural Science Foundation(No.2022NSFSC0043).
文摘In this work,we propose a comprehensive theoretical framework for the multilevel NAND(NOT AND logic)flash memory,built upon the modified Student’s t distribution where the distortion of the threshold voltage caused by the random telegraph noise,cell-to-cell interference and data retention noise are jointly considered.Based on the superposition modulation,we build a non-orthogonal multiuser communication model where a linear mapping is conducted between the verify voltages and binary antipodal symbols.Aimed at improving the storage efficiency,we propose an unequal amplitude mapping(UAM)solution by optimizing the weighting coefficients of verify voltages to intelligently adjust the width of each state.Moreover,the uniform storage efficiency region and sum storage efficiency of different labelings with various decoding schemes are discussed.Simulation results validate the effectiveness of our proposed UAM solution where an up to 20.9%storage efficiency gain can be achieved compared to the current used benchmark scheme.In addition,analytical and simulation results also demonstrate that the successive cancellation decoding outperforms other decoding schemes for all labelings.
文摘新型配电系统柔性消弧装置及定位技术均需充分挖掘相电流暂态特征来实现选相、选线和故障定位。针对此问题,对新型配电系统单相接地故障相电流暂态分布特性进行分析,提出了一种基于相电流多维时频分布特征差异的新型配电系统单相接地故障定位新方法。依据故障相电流故障暂态量与非故障相电流故障暂态量的差异性,通过灰色关联度算法完成故障选相;对各出线始端监测点以及疑似故障馈线分支监测点的相电流暂态波形进行26维多维时频特征的提取,通过经方差优化的t-分布近邻嵌入算法(variance-optimized t-distributed stochastic neighbor embedding,VTSNE)进行筛选和降维,并对处理后的特征数据进行基于密度的有噪空间聚类算法(density-based special clustering of application with noise,DBSCAN)聚类完成故障选线和故障区段定位。该方法在某绿色港口10 kV新型配电系统模型中得到验证,在不同故障初相角、不同过渡电阻等故障场景下均可准确可靠定位故障位置,对采样同步精度及采样频率要求低,易于工程实现。
