摘要
介绍了热工仪表非线性校正的两种方法。基于智能控制理论 ,提出了热工仪表非线性校正的数字线性化智能方法 ,给出了BP神经网络用于氧化锆氧量计非线性校正的具体实例 ,并结合火电厂DAS系统 ,给出了该方法的应用流程。
Two kinds of nonlinear calibration method for thermal power instruments have been presented. Based on the intelligent control theory, a new nonlinear calibration method has been put forward, giving a concrete example of using BP neural network to realize nonlinear calibration of ZrO_2 instruments. For DAS system of power plants, the flow diagram of using the said method is also given.
出处
《热力发电》
CAS
北大核心
2004年第9期58-61,共4页
Thermal Power Generation
关键词
热工仪表
非线性校正方法
智能控制理论
BP神经网络
Thermal power instruments
nonlinear calibration
intelligent control theory
ZrO_2 instruments
BP neural network
DAS system
