PCA-Based Modeling and On-line Monitoring Strategy for Uneven-Length Batch Processes
PCA-Based Modeling and On-line Monitoring Strategy for Uneven-Length Batch Processes
复制标题
DOI：
10.1021/ie030736f
复制
发表时间：
2004-05
影响因子：
4.2
通讯作者：
N. Lu;F. Gao;Yi Yang;Fuli Wang
中科院分区：
文献类型：
--
作者：
N. Lu;F. Gao;Yi Yang;Fuli Wang
本文将作者最初提出的基于阶段的子pca建模方法扩展到持续时间不均匀的批处理过程的监测中。为每个阶段开发了两个模型，一个用于阶段划分，另一个用于过程监控。阶段划分的目的有两方面，一是加强对过程的理解，二是为PCA监测模型的开发提供必要的阶段划分信息。利用该方法，可以有效地监测持续时间不均匀的批量过程，用于故障检测和诊断。
This paper extends the stage-based sub-PCA modeling method originally proposed by the authors to the monitoring of batch processes with durations of uneven lengths. Two models for each stage are developed, one for the stage division and the other for process monitoring. The purposes of the stage division are two-fold, to enhance process understanding and to provide stage-division information necessary for the development of PCA monitoring models. With the proposed method, batch processes with durations of uneven lengths can be effectively monitored for fault detection and diagnosis.