基于模糊聚类的谷氨酸发酵过程故障诊断研究  

Fault Diagnosis for Glutamic Acid Fermentation Process Based on Fuzzy Clustering

作　　者：张进[1] 王贵成[1,2] 汪滢[1] 

机构地区：[1]沈阳化工大学院信息工程学院,辽宁沈阳110142 [2]上海应用技术大学电气与电子工程学院,上海201418

出　　处：《沈阳化工大学学报》2017年第2期182-187,共6页Journal of Shenyang University of Chemical Technology

摘　　要：结合谷氨酸发酵过程,给出模糊聚类故障诊断的方法和步骤,在获取与掌握先验知识后,找到故障数据的聚类中心,运用对比方法预判故障发生的先兆,达到故障诊断的目标.以谷氨酸发酵过程生产故障为例,仿真结果表明模糊聚类的中心值随故障类别不同而不同,初步实现利用模糊聚类方法对样本数据的多级故障诊断,诊断结果与实际情况相符.Combined with glutamic acid fermentation process,the method and step of fault diagnosis of fuzzy clustering are given,especially after obtaining and mastering the prior knowledge,to find the clustering center of fault data,and using the contrast method to predict the fault omen and realize the goal of fault diagnosis.For glutamic acid fermentation process,process,production fault as an example,the simulation results show that the central value of fuzzy clustering is different with fault category.The multi-level fault diagnosis is realized by fuzzy clustering for sample data,and the diagnosis result is consistent with the actual situation.

关 键 词：模糊聚类 发酵过程 故障诊断 模式识别 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]