基于模糊聚类算法的工控网络控制故障检测方法研究  

Industrial Control Network Control Fault Detection Method Based on Fuzzy Clustering Algorithm

作　　者：刘进[1] 卢安文[1] 陈家佳[1] 

机构地区：[1]重庆邮电大学经济管理学院,重庆400065

出　　处：《计算机测量与控制》2015年第3期681-684,共4页Computer Measurement &Control

基　　金：重庆市2013年高等学校教学改革研究重点项目(132004);重庆市教改重大课题(120100)

摘　　要：针对传统大型工控网络控制故障检测过程中,没有考虑故障延时特性,从而导致的故障信号检测准确率下降,检测效率降低;为此,提出一种基于模糊算法的大型工控网络控制故障检测方法;引入模糊算法,对大型工控网络控制中的故障信号延迟进行模糊化建模,通过随机时延切换设计故障观测参数和故障观测参数的残差对大型工控网络控制系统进行故障检测,克服信号延迟弊端;实验结果表明,利用文章方法进行大型工控网络控制系统故障检测,能够有效提高故障的准确率,效果令人满意。Against the traditional industrial control network control in the process of fault detection, without considering fault delay char- acteristics, thus resulting in a decline in fault signal detection accuracy and detection efficiency. For this, put forward a kind of large--scale industrial control network control fault detection method based on fuzzy algorithm. Introducing the fuzzy algorithm, the fault signal delay is applied to the fuzzy modeling, fault observation by random time delay switch design parameters and fault observation residuals of fault detec- tion for large industrial control network control system, to overcome the signal delay. The experimental results show that the method presented in this paper for large industrial control network control system fault detection, can effectively improve the accuracy of the fault, the effect is satisfied.

关 键 词：大型工控网络 控制系统 控制故障检测 模糊算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]