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基于功率谱估计的造纸生产线断纸预测
引用本文:周强,韩九强.基于功率谱估计的造纸生产线断纸预测[J].化工自动化及仪表,2007,34(2):13-16.
作者姓名:周强  韩九强
作者单位:1. 陕西科技大学,电气学院,陕西,咸阳,710049;西安交通大学,电信学院,西安,710049
2. 西安交通大学,电信学院,西安,710049
基金项目:国家自然科学基金 , 陕西省教育厅资助项目
摘    要:建立打浆度、定量、水分等信号随机分量的自回归(AR)模型,并采用Levinson-Durbin递推算法对AR模型参数进行在线估计,由AR模型参数得到信号的功率谱估计,并根据功率谱的变化预测断纸过程的发生.将这种方法应用于生产,实践表明预报效果显著.

关 键 词:断纸  非平稳特性  AR模型  随机信号  功率谱估计
文章编号:1000-3932(2007)02-0013-04
修稿时间:08 31 2006 12:00AM

Paper Breaking Prediction in Production Line Based on Power Spectral Estimation Method
ZHOU Qiang,HAN Jiu-qiang.Paper Breaking Prediction in Production Line Based on Power Spectral Estimation Method[J].Control and Instruments In Chemical Industry,2007,34(2):13-16.
Authors:ZHOU Qiang  HAN Jiu-qiang
Abstract:A new method that predicts paper breaking based on differentiating between stationary property and non-stationary property of some random signals including beating degree,basis weight and moisture is presented.In prediction process,the autoregression(AR) models of these random signals are estimated by Levinson-Durbin recursive algorithm,and power spectral estimation is made by the AR model on line so as to paper breaking can be judged in time from variation of the power spectral.The application results show that the predictive validity is remarkable.
Keywords:paper breaking  non-stationary property  AR model  random signals  power spectral estimation
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