造纸废水处理过程微小故障检测方法研究

摘要

Incipient fault detection has been an important research topic in the field of process monitoring.However,traditional multivariate statistical process monitoring methods fail to detect incipient faults.In this paper,two methods were developed for the incipient fault detection of a papermaking wastewater treatment process:multivariate cumulative sum combined with principal component analysis (PCA) and multivariate exponent weighted moving average combined with PCA.The results proved the effectiveness of the proposed fault monitoring methods.%微小故障的检测是过程监测领域的一个重要研究方向.传统的多元统计过程监测方法无法对过程微小故障进行有效监控.本课题将多元累积和控制(CUSUM)方法及多元指数加权移动平均(EWMA)方法分别与主成分分析(PCA)相结合用于造纸废水处理过程中微小故障的过程监测.研究结果证实了多元累积和控制方法和多元指数加权移动平均方法的有效性.