摘要
根据磨煤机的工作特点和负荷检测要求,提出综合神经网络和模糊系统优点的自适应神经网络模糊算法(ANFIS),并利用矩阵实验室中建立的ANFIS系统,对磨煤机噪音、振动和出入口压差参数进行融合,得到磨煤机负荷的准确测量。对秦岭发电厂5号锅炉甲磨煤机的实际测试表明,采用该算法能够及时、准确地反映磨煤机负荷。
Based on the working characters and load detection requirements of the coal pulverizers,an adaptive neural network fuzzy algorithm,which summarizes the advantages of neural network and fuzzy system,has been put forward,and a system for said algorithm being established in the matrix laboratory （MATLAB）.Blending parameters of the pulverizer,such as noise,vibration,and pressure difference between inlet and outlet of the coal pulverizer,accurate load of the coal pulverizer can be measured.Practical measurement on the coal pulverizer A of boiler no.5 in Qinling Power Plant shows that the adopton of said algorithm can timely and accurately reflect the load of coal pulverizers.
出处
《热力发电》
CAS
北大核心
2010年第9期78-80,共3页
Thermal Power Generation
关键词
火电厂
锅炉
磨煤机负荷
信息融合技术
自适应神经网络
thermal power plant
boiler
load of coal pulverizer
information blending technology
adaptive neural network
