DETECTION METHOD FOR COAL PULVERIZER LOAD IN THERMAL POWER PLANTS
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DETECTION METHOD FOR COAL PULVERIZER LOAD IN THERMAL POWER PLANTS
Thermal Power GenerationVol. 39, Issue 9, Pages: 78-80(2010)
作者机构:
1. 西安工程大学电子信息学院
2. 日照发电厂
作者简介:
基金信息:
DOI:
CLC:TM621.2
Published:2010
稿件说明:
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WU Tong1, LI Pengfei1, SHI Gangfeng2, et al. DETECTION METHOD FOR COAL PULVERIZER LOAD IN THERMAL POWER PLANTS[J]. Thermal power generation, 2010, 39(9): 78-80.
DOI:
WU Tong1, LI Pengfei1, SHI Gangfeng2, et al. DETECTION METHOD FOR COAL PULVERIZER LOAD IN THERMAL POWER PLANTS[J]. Thermal power generation, 2010, 39(9): 78-80.DOI:
DETECTION METHOD FOR COAL PULVERIZER LOAD IN THERMAL POWER PLANTS
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。
Abstract
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.