基于优化小波基的电力故障 暂态数据压缩研究
A Study on Power Fault Transient Data Compression Based on Optimum Wavelet
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摘要: 在论述基于多分辨分析的小波基构造方法和小波分解理论的基础上,针对电力故障信号富含瞬时性 强、衰减快暂态成分的特点,研究了基于信号离散小波逼近品质,即离散逼近时域二范数最大的小波基优化方 法。分析表明,基于优化小波基的离散小波变换对电力故障暂态数据具有较高的压缩比和较小的重构误差。Abstract: Based on the discussion of the wavelet construction method and the wavelet decomposition theory of multiresolution analysis, in combination with the features of strong instantaneity and quick attenuation of power fault transients, an optimum wavelet construction method based on maximizing the 2-norm of time domain of discrete wavelet decomposition approximation is studied. Computation indicates that this method applied in the compression of power system fault transient data will increase the compression ratio and decrease the reconstruction error.
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Key words:
- data compression /
- optimization /
- power system computation /
- wavelet approximation
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