摘要
软测量技术是当前过程控制中研究热点之一。在介绍软测量技术基础上,对目前主要软测量建模的方法:机理建模、回归分析、状态估计、模式识别、人工神经网络、模糊数学、基于支持向量机(SVM)和核函数的方法、过程层析成像、相关分析和现代非线性系统信息处理技术等十种方法进行介绍,并对软测量建模方法进行了展望。最后列举了工业应用实例。
At present, soft sensing technology is one of the topics of general interest in study on current process control. On the basis of introduetion to soft sensing technology, ten of the major modeling methods of soft sensing, i.e. mechanism modeling, regression analysis, state estimation, pattern recognition, artificial neural network, fuzzy mathematics, and SVM- or kernel-function-based method, process tomography, correlative analysis and non-linear system information processing technology are introduced, and the modeling method of soft sensing is prospected. Finally the practical examples of industrial applications are illustrated.
出处
《自动化仪表》
CAS
2008年第1期1-7,共7页
Process Automation Instrumentation
关键词
软测量
建模方法
工业应用实例
神经网络
支持向量机
Soft sensing Method of modeling Praetical example of industrial application Neural network Support vector machine
