LOAD SOFTSENSER FOR TUBE TYPE BALL MILL BASED ON COMPOSITE NEURAL NETWORK IN THERMAL POWER PLANT

SI Gang-quan; CAO Hui; WANG Jing-cheng; ZHANG Yan-bin; JIA Li-xin(Xi'an Jiaotong University

doi:10.19666/j.rlfd.2007.05.019

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

LOAD SOFTSENSER FOR TUBE TYPE BALL MILL BASED ON COMPOSITE NEURAL NETWORK IN THERMAL POWER PLANT

更新时间：2025-09-28

- LOAD SOFTSENSER FOR TUBE TYPE BALL MILL BASED ON COMPOSITE NEURAL NETWORK IN THERMAL POWER PLANT
- Thermal Power Generation Issue 5, Pages: 64-67(2007)
- 作者机构：
  
  西安交通大学
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2007.05.019
  CLC： TP183;TP274
- Published：2007
- 稿件说明：
移动端阅览
SI Gang-quan, CAO Hui, WANG Jing-cheng, et al. LOAD SOFTSENSER FOR TUBE TYPE BALL MILL BASED ON COMPOSITE NEURAL NETWORK IN THERMAL POWER PLANT[J]. Thermal power generation, 2007, (5): 64-67.
DOI：

SI Gang-quan, CAO Hui, WANG Jing-cheng, et al. LOAD SOFTSENSER FOR TUBE TYPE BALL MILL BASED ON COMPOSITE NEURAL NETWORK IN THERMAL POWER PLANT[J]. Thermal power generation, 2007, (5): 64-67. DOI： 10.19666/j.rlfd.2007.05.019.

摘要

在对筒式钢球磨煤机运行参数及其负荷检测特点分析的基础上

针对单一负荷检测方法的不足

提出了一种从多传感器信息融合角度出发基于复合式神经网络的磨煤机负荷软测量方法。通过复合式神经网络对钢球磨煤机噪音、入口负压、出入口差压、出口温度和电机电流进行融合

获得磨煤机负荷及负荷的变化率

为有效地实施钢球磨煤机的控制提供了更准确的信息。实际测试表明

该方法能够准确反映钢球磨煤机负荷

具有较高的灵敏度。

Abstract

On the basis of analysing the operation parameters and the load-detecting features of tube type ball mill

and directing against the insufficiency of single load detecting method

a soft-sensing method for tube type ball mill based on information fusion technology of multiple sensers has been put forward.Through composite network

the noise

the inlet negative pressure

the differential pressure between outlet and inlet

the outlet temperature

and the motor current of the said mill have been fused

the load of ball mill and its varying rate being obtained.Providing with accurate information for realization of effective control of the tube type ball mill.Practical test shows that the said method can accurately reflect the ball mill's load

having comparatively high sensitivity.

关键词

Keywords

references

Views

248

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Dynamic soft measurement method for coal calorific value based on Calman filter

THE PID ADAPTIVE DECOUPING CONTROL SYSTEM WITH MODIFIED NEURON FOR BALL MILLS

Experimental study on circulating water treatment in coal-fired power plants using Nanofiltration process

An improved online NOx prediction model based on LSSVM

Numerical simulation on optimization for MGGH flue in thermal power plants

Related Author

HAO Xiaohui

LIU Xinping

BIAN Fang

ZHANG Quan

CHENG Qi-ming1

ZHENG Yong2

CHENG Yi-man11.School of Electric Power and Automation

LI Yajuan

Related Institution

Automation Department,North China Electric Power University

Kangbashi Thermoelectric Co.,Ltd.,Beijing Energy Group,Eerduosi

School of Electric Power and Automation, Shanghai Electric Power University

School of Mechanical and Electrical Engineering and Automation, Shanghai University

Xi'an Thermal Power Research Institute Co.,Ltd.

AI问答

⁰