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| 摘要: |
| 提出了利用小波变换高频分量模极大值预测故障电流幅值的Symlets小波幅值算法.分析了Symlets小波的正交性、计算性和对称性,给出了与sym3小波相关联的分解与重构滤波器,研究了Symlets小波幅值算法可精确捕捉故障发生时刻的基本原理,建立了基于sym3小波变换高频分量模极大值的故障电流幅值计算数学模型.通过利用sym3小波变换对不同电流信号进行分解和重构,确定了每周期采样点数不同和故障前最后一个采样点相位不同时数学模型中系数k的大小.仿真结果表明,该算法可精确捕捉故障发生时刻并能在7/N个电力信号周期内定量预测出故障电流幅值. |
| 关键词: Symlets小波 小波变换 模极大值 分解重构 预测 |
| DOI： |
| 分类号:TM77 |
| 基金项目:黑龙江省博士后启动基金，黑龙江省教育厅科学技术研究项目? |
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| Study of Symlets wavelet amplitude algorithm |
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LI Zhongwei1 2 CHENG Li3 TONG Weiming1
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| Abstract: |
| Symlets wavelet amplitude algorithm is presented to estimate the fault current with the high-frequency component modulus maxima of wavelet transform. The orthogonality,symmetry and calculability are analyzed and the decomposition and reconstruction filters of sym3 wavelet are presented. The fundamental of Symlets wavelet amplitude algorithm to capture the occurrence time of fault is studied and the fault current amplitude calculation model is constructed based on the high-frequency component modulus maxima ... |
| Key words: Symlets wavelet wavelet transform modulus maxima decomposition and reconstruction forecast |
