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小波分析应用于在线监测中信噪分离的研究 被引量:21

APPLICATION OF WAVELET ANALYSIS TO SEPARATION OF SIGNAL AND NOISE IN ON\|LINE MONITORING
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摘要 文章利用小波分析可进行时域与频域同时局部分析的特点,将小波分析应用于电力系统在线监测一类具有较大干扰背景情况下的信号处理,对混有噪声的信号进行小波分解,以实现信号与噪声的分离。并对信噪分离作了仿真计算。 The wavelet analysis has been widely applied in various aspects of engineering because of its good performance in the analysis of time and frequency domain. Considering the feature that the wavelet analysis can be used to perform simultaneously partial analysis in time and frequency domain, those are tried in this paper to analyse the signal mixed with noise and to separate signal and noise. It is no doubt beneficial to the signal disposal of power system on line monitoring which has great disturbance background. The emulation calculation of separation of signal and noise is carried out, and the possible application of wavelet analysis in several areas of on line monitoring is discussed.
作者 陈继东
出处 《电网技术》 EI CSCD 北大核心 1999年第11期54-57,共4页 Power System Technology
关键词 小波分析 电力系统 信号处理 信噪分离 在线监测 wavelet analysis signal disposal noise on line monitoring
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