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《Journal of Power Engineering》 2009-11
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A Method of Extracting Correlation Signals from Complex Thermal System

LIU Ji-zhen,HAO Zu-long,TIAN Liang(School of Control Science and Engineering,North China Electric Power University,Beijing 102206,China)  
Making fully use of the large amount of operation historical data from power plants,a complex thermal system correlation signals extracting method was proposed based on similarity of data fluctuation component within characteristic frequency band.Since characteristic components of correlation signals are always concentrated in a specified frequency band,a band-pass filter was designed to eliminate the trend terms and part noise disturbance.The normalization variances with moving window were calculated to enlarge availability information in signals characteristic frequency band,so as to estimate the correlation of signals easily.An example analysis based on a 600 MW unit operation data shows that this method can find correlated signals of combustion disturbance effectively,and can distinguish their relative strength.
【Fund】: 国家自然科学基金资助项目(50776030)
【CateGory Index】: TK31
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