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充分利用火电厂生产运行的大量历史数据,提出了一种基于特征频段波动相似性的复杂热力系统相关信号选取方法.它针对信号变化时特征分量大多集中于某一频段的特性,利用带通滤波器消除趋势项及部分噪声干扰,通过计算归一化的滑动窗方差突出了信号特征频段内的有效信息,以便于直观判断信号间的相关性.通过对某600 MW机组数据进行实例分析,表明该方法能简捷地寻找到燃烧扰动相关信号,并能区分这些信号的相关性强弱.
Taking full advantage of a large amount of historical data of thermal power plant production and operation, this paper proposes a method of signal selection based on the similarity of the characteristic frequency band in complex thermal system.Aiming at the characteristic that the characteristic components are mostly concentrated in a certain frequency band when the signal changes, Eliminate the trend items and some noise, and calculate the normalized sliding window variance to highlight the effective information in the signal characteristic frequency band, in order to intuitively judge the correlation between signals.An example analysis of a 600 MW unit data shows This method can find the signal of combustion perturbation easily and distinguish the correlation of these signals.