基于人工神经网络的过程动态特性建模——火电厂烟气含氧量的软测量  

Process Dynamic Modeling Based on Simulated Neural Network——Soft Measuring of Gas with Oxygen in Heat-engine Plant

作　　者：胡世广 

机构地区：[1]山西兴能发电有限责任公司,山西太原030200

出　　处：《机械管理开发》2016年第7期11-14,40,共5页Mechanical Management and Development

摘　　要：利用神经网络进行火电厂烟气含氧量的测量进行建模和研究,通过对数据的收集与整理,得到了模型训练与结果分析,有效解决了工业过程中普遍存在的一类难以在线测量变量估计问题,从而大大提高企业的经济效益,降低了能源损耗。The coal-fired power plant flue gas oxygen content is using the neural network measurement to model and research, through the result analysis of data collection and sorting, this paper get the training model and effectively solves generally problem existing in the process of industrial category to greatly improve the economic efficiency of enterprises and reduce the energy loss.

关 键 词：氧量分析仪 建模 神经网络 MATLAB 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]