Researchers have developed a two-stage wavelet and swarm-optimized neural network framework that detects and classifies ...
A new simulation study compares Fourier, wavelet, and direct time-domain fitting methods for analyzing short and non-stationary NMR signals, revealing where each approach excels and how spectrograms ...
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本文其余部分组织如下：第2章介绍系统建模与参数配置，阐述输电网络模型、系统参数与联合仿真架构；第3章论述信号处理方法，包括全周期滑动DFT相量提取与对称分量变换；第4章详述距离保护判据，涵盖六回路测量阻抗计算、继电器特性、多区保护配合、故障分类与负荷侵入闭锁；第5章介绍智能故障定位方法，包括Takagi、Eriksson、Reactance及Ensemble四种算法；第6章给出 ...
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