基于EMD的锌钡白煅烧过程多尺度因子分析
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摘要
针对回转窑过程多时间尺度信号的耦合关系往往会掩盖过程变化规律,导致未经时间尺度分解的直接的因子分析方法难以得到过程固有的变化模式的问题,提出采用基于EMD的多尺度因子分析方法对锌钡白煅烧过程的数据进行分析。该方法利用EMD有较强的自适应性,分解结果往往具有较强的物理意义等特性,首先对锌钡白回转窑平稳运行时的生产数据进行EMD分解,根据分解结果提取不同的时间尺度数值,然后对不同尺度下的数据进行因子分析。分析结果显示,数据在周期3 h以上的大时间尺度和周期30 min以下的中小时间尺度上都分别表现出定常的特点,表明人工控制可分解为长周期控制和短周期控制两方面。实验结果表明该方法在处理回转窑过程多尺度数据处理方面的有效性。
The coupling of variables in rotary kiln processes under multiple time-scale usually conceals the underlying principles,which results in the difficulty in revealing the inherent mode of the process directly using the factor analysis.An improved factor analysis method based on EMD is used to deal with the data of a lithopone calcination process.EMD is a self-adaptive method of signal decomposition,which leads to a practically result.The field data is decomposed by EMD method,based on that several different time-scale values are chosen.The dataset under different scales are analyzed by factor analysis method.The analysis result shows that the data are steady-state both under large scale(more than 3 hours) and small scale(less than 30 minutes).It can be inferred that manual control scheme should be divided into a short-term scheme and a long-term one.This experiment proves the effectiveness of the proposed method when applying to multi-scale data processing of rotary kilns.
The coupling of variables in rotary kiln processes under multiple time-scale usually conceals the underlying principles,which results in the difficulty in revealing the inherent mode of the process directly using the factor analysis.An improved factor analysis method based on EMD is used to deal with the data of a lithopone calcination process.EMD is a self-adaptive method of signal decomposition,which leads to a practically result.The field data is decomposed by EMD method,based on that several different time-scale values are chosen.The dataset under different scales are analyzed by factor analysis method.The analysis result shows that the data are steady-state both under large scale(more than 3 hours) and small scale(less than 30 minutes).It can be inferred that manual control scheme should be divided into a short-term scheme and a long-term one.This experiment proves the effectiveness of the proposed method when applying to multi-scale data processing of rotary kilns.
引文
[1]Alejandro M A,Dominguez L,Longchamp R.Supervisory fuzzycontrol of a rotary cement kiln[C].Antalya,Turkey:Proceedingsof 7th Mediterranean Electrotechnical Conference,1994.
[2]Chiang D,Lai R.Adesign methodology of constraint-based fuzzylogic controller[C].Cancouver,BC Canada:IFSA World Con-gress and 20th NAFIPS International Conference,2001.
[3]Fan J Q,Zhang HY.An effective control method of the coke cal-cining kiln[C].Shanghai,China:Proceedings of the IEEE Inter-national Conference on Industrial Technology,1996.
[4]Delong J H,Aitken R C.Factorial analysis of a cement kiln[J].Applied Mathematical Modeling,1981,5(5):341-347.
[5]孙文爽,陈兰祥.多元统计分析[M].北京:高等教育出版社,1994.(Sun Wensuang,Chen Lanxiang.Multivariate statisti-cal analysis[M].Beijing:High Education Press,1994.)
[6]殷瑞飞,朱建平.关于利用因子分析方法对变量分类的探讨[J].统计与决策,2005,2(3):20-21.(Yin Ruifei,Zhu Jian-ping.Discussion about applying factor analysis to Variable Classi-fication[J].Statistics and Decision,2005,2(3):20-21.)
[7]Huang N E,Sheen Z,Steven R L,et al.The empirical mode de-composition and the Hilbert spectrum for nonlinear and nonstation-ary time series analysis[C].Proc R Soc Lond A,1998.
[8]管卫华.中国经济增长波动的多尺度分析及其预测[D].南京:南京师范大学,2005.(Guan Weihua.Multi-scale analysisand forecasting on China s economic growth fluctuation[D].Nan-jing:Nanjing Normal University,2005.)
[9]武安绪,吴培稚,兰从欣,等.Hilbert-Huang变换与地震信号的时频分析[J].中国地震,2005,21(2):207-215.(WuAnxu,Wu Peizhi,Lan Congxin,et al.Hilbert-Huang transformand time-frequency analysis of seismic signal[J].Earthquake Re-search in China,2005,21(2):207-215.)
[10]伍建平.锌钡白干燥煅烧转窑过程控制实现与研究[D].广州:华南理工大学,2005.(Wu Jianping.Research and realiza-tion of Lithopone calcination rotary kiln[D].Guangzhou:SouthChina University of Technology,2005.)
[11]黄然婷,刘咏平,狄铮,等.锌钡白干煅窑炉过程控制系统的研制(Ⅱ)-测量数据预处理技术[J].华南理工大学学报(自然科学版),2002,30(4):52-55.(Huang Ranting,Liu Yong-ping,Di Zheng,et al.Development of Process Control System forLithopone Kiln and Calciner(Ⅱ):Preprocessing Technology ofSampling Data[J].Journal of South China University of Technolo-gy(Natural Science Edition),2002,30(4):52-55.)
[12]Jarvensvu M,Saari K,Jamsa-Jounela S L,et al.Intelligent controlsystem of an industrial lime kiln process[J].Control EngineeringPractice,2001,9(6):589-606.
[2]Chiang D,Lai R.Adesign methodology of constraint-based fuzzylogic controller[C].Cancouver,BC Canada:IFSA World Con-gress and 20th NAFIPS International Conference,2001.
[3]Fan J Q,Zhang HY.An effective control method of the coke cal-cining kiln[C].Shanghai,China:Proceedings of the IEEE Inter-national Conference on Industrial Technology,1996.
[4]Delong J H,Aitken R C.Factorial analysis of a cement kiln[J].Applied Mathematical Modeling,1981,5(5):341-347.
[5]孙文爽,陈兰祥.多元统计分析[M].北京:高等教育出版社,1994.(Sun Wensuang,Chen Lanxiang.Multivariate statisti-cal analysis[M].Beijing:High Education Press,1994.)
[6]殷瑞飞,朱建平.关于利用因子分析方法对变量分类的探讨[J].统计与决策,2005,2(3):20-21.(Yin Ruifei,Zhu Jian-ping.Discussion about applying factor analysis to Variable Classi-fication[J].Statistics and Decision,2005,2(3):20-21.)
[7]Huang N E,Sheen Z,Steven R L,et al.The empirical mode de-composition and the Hilbert spectrum for nonlinear and nonstation-ary time series analysis[C].Proc R Soc Lond A,1998.
[8]管卫华.中国经济增长波动的多尺度分析及其预测[D].南京:南京师范大学,2005.(Guan Weihua.Multi-scale analysisand forecasting on China s economic growth fluctuation[D].Nan-jing:Nanjing Normal University,2005.)
[9]武安绪,吴培稚,兰从欣,等.Hilbert-Huang变换与地震信号的时频分析[J].中国地震,2005,21(2):207-215.(WuAnxu,Wu Peizhi,Lan Congxin,et al.Hilbert-Huang transformand time-frequency analysis of seismic signal[J].Earthquake Re-search in China,2005,21(2):207-215.)
[10]伍建平.锌钡白干燥煅烧转窑过程控制实现与研究[D].广州:华南理工大学,2005.(Wu Jianping.Research and realiza-tion of Lithopone calcination rotary kiln[D].Guangzhou:SouthChina University of Technology,2005.)
[11]黄然婷,刘咏平,狄铮,等.锌钡白干煅窑炉过程控制系统的研制(Ⅱ)-测量数据预处理技术[J].华南理工大学学报(自然科学版),2002,30(4):52-55.(Huang Ranting,Liu Yong-ping,Di Zheng,et al.Development of Process Control System forLithopone Kiln and Calciner(Ⅱ):Preprocessing Technology ofSampling Data[J].Journal of South China University of Technolo-gy(Natural Science Edition),2002,30(4):52-55.)
[12]Jarvensvu M,Saari K,Jamsa-Jounela S L,et al.Intelligent controlsystem of an industrial lime kiln process[J].Control EngineeringPractice,2001,9(6):589-606.
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