中国资源综合利用2025，Vol.43Issue(5)：241-243,3.DOI:10.3969/j.issn.1008-9500.2025.05.073
基于智能监控的环保设施脱硫设备故障预警方法研究
Study on Fault Warning Method for Desulfurization Equipment of Environmental Protection Facilities Based on Intelligent Monitoring
占贺春 1黄福珠1
作者信息
- 1. 国家电投集团江西电力有限公司分宜发电厂,江西 新余 336615
- 折叠
摘要
Abstract
The desulfurization equipment of environmental protection facilities are the core devices for controlling flue gas pollution and achieving efficient removal of sulfur dioxide in the chemical industry.This paper analyzes the key fault modes during the operation of limestone gypsum wet flue gas desulfurization equipment and their impact on system performance,researches on real-time fault warning method based on dynamic Radial Basis Function(RBF)neural network and dynamic RBF identifier,and proposes an intelligent monitoring technology that integrates real-time monitoring,nonlinear identification,and dynamic modeling,aiming to improve the operational safety and fault prediction accuracy of desulfurization equipment.关键词
动态径向基函数(RBF)神经网络/动态RBF辨识器/环保设施/脱硫设备Key words
dynamic Radial Basis Function(RBF)neural network/dynamic RBF identifier/environmental protection facilities/desulfurization equipment分类
资源环境引用本文复制引用
占贺春,黄福珠..基于智能监控的环保设施脱硫设备故障预警方法研究[J].中国资源综合利用,2025,43(5):241-243,3.
