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借鉴小波分析思想,设计了简单滤波器组,将信号分解为不同频率尺度的分量,对不同信号的各个分量之间进行相关分析,比较不同频率尺度下频率分量间的相关性特征,从而大致判断出信号间的影响关系及类型.利用多尺度频率相关分析方法对电站锅炉炉膛压力等信号进行分析,发现炉膛压力低、中频段分量分别与燃料量、送风量的中、高频段分量呈现出明显的正相关性.建立了燃料量、送风量和引风量与炉膛温度和压力间的简化动态模型,并进行机理分析.结果表明:炉膛压力信号与锅炉燃烧率之间具有带通滤波特性,炉膛压力能够在较宽的负荷范围和频带内反映锅炉燃烧强度的变化.
Based on the idea of wavelet analysis, a simple filter bank is designed to decompose the signal into components of different frequency scales. The correlation analysis between different components of different signals is carried out, and the correlation characteristics between frequency components at different frequency scales are compared to roughly determine The relationship between the signal and the type of output signal.Using multi-scale frequency correlation analysis method to analyze the signal of furnace pressure in power plant boiler, it was found that the middle and high frequency components of low, mid-frequency and middle- A clear and positive correlation was established.The simplified dynamic models of fuel quantity, air supply volume and induced air volume and furnace temperature and pressure were established and the mechanism analysis was carried out.The results showed that there was a band-pass filtering characteristic between the pressure signals of the furnace and the combustion rate of the boiler , Hearth pressure can reflect changes in boiler combustion intensity over a wide load range and frequency band.