Self-adaptive variable-step size LMS filtering algorithm for major parameters of SCR flue gas denitration system

WANG Lin; HOU Yuting; XUE Jianzhong; CUI Li; GAO Haidong; GAO Lin

English

您当前的位置：

首页 >

文章列表页 >

Self-adaptive variable-step size LMS filtering algorithm for major parameters of SCR flue gas denitration system

Thermal Power Generation Issue 5, (2016)

更新时间：2025-09-28

- Self-adaptive variable-step size LMS filtering algorithm for major parameters of SCR flue gas denitration system
- 作者机构：
  
  西安热工研究院有限公司,陕西,西安,710032
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911
- Published Online：15 June 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
WANG Lin, HOU Yuting, XUE Jianzhong, et al. Self-adaptive variable-step size LMS filtering algorithm for major parameters of SCR flue gas denitration system[J]. Thermal Power Generation, 2016, (5).
DOI：

WANG Lin, HOU Yuting, XUE Jianzhong, et al. Self-adaptive variable-step size LMS filtering algorithm for major parameters of SCR flue gas denitration system[J]. Thermal Power Generation, 2016, (5). DOI：

摘要

为提高选择性催化还原法(SCR)烟气脱硝系统在线数据辨识的信噪比

本文利用不同的变步长自适应滤波方法

在不同截止频率下

采用最具有代表性的3种变步长最小均方滤波方法对现场SCR烟气脱硝系统的入口NOx质量浓度、出口NOx质量浓度和喷氨流量进行数据滤波，对比了滤波数据和原始数据，并对3种方法进行了验证。结果表明:3种方法中尽管自相关矩阵变步长方式迭代时间较长

但稳定性非常好；在截止频率为0.9时

滤波数据能取得最好的综合效果。

Abstract

关键词

Keywords

references

Views

388

下载量

CSCD

Alert me when the article has been cited

提交

Publicity Resources

Model for predicting SCR flue gas denitration efficiency based on particle swarm optimization and twin support vector machine

Experimental research on abrasion and flow resistance of screen mesh in SCR denitration system of coal-fired power plants

Conditional integral sliding mode control for SCR denitrification system based on Smith predictor

Performance evaluation and lifetime management of honeycomb SCR catalysts in coal-fired power plant

Related Author

FANG Xian

TIE Zhixin

CUI Shiwen

DING Chengfu

XIE Lei

LIU Jingjing

FAN Meiling

YANG Xiaobo

Related Institution

School of Information Science and Technology, Zhejiang Sci-Tech University

Focused Photonics (Hangzhou) Inc.

School of Chemistry and Chemistry Engineering, South China University of Technology

Science and Technology Development Branch of Jilin Electric Power Co., Ltd.

School of Energy Power and Mechanical Engineering, North China Electric Power University

AI问答

⁰