摘要：In the chemical and biochemical industries, batch processes play an important role in producing high-quality and value-added specialty products. The variables measured in such processes often have periodic trajectories with varying batch duration and fixed operational stages. The measured value of a process variable provides only part of the information about process conditions, while the process monitoring and operation activities mostly rely on the trends and trajectories of these variables. It is necessary to construct a trend-monitoring statistic to detect an abnormality in a batch process variable trajectory to provide operation decision support and guarantee product quality. In this paper, a new trend cumulative sum (CUSUM) chart is introduced as a way to detect the deviation of batch process variable trends, which may be caused by abnormal operations. This method relies on the extraction of variable trend features as a combination of derivatives through a functional description of variable trajectories. This then leads to the construction of an individual trend CUSUM chart and a multiple-trend CUSUM chart. The multiple-trend CUSUM chart, the sum of the trend CUSUM charts of all process variables, aims to improve the monitoring efficiency by combining the trend deviations of all variables in a single chart. The potential of these novel univariate control charts is demonstrated using the batch manufacture of polypropylene (PP). When several simulated and actual batches are studied, the results show that the trend CUSUM chart is capable of capturing trend abnormalities. We also show, by comparison, that alarms can be triggered in the trend CUSUM chart before the measured process variables exceed the control limits of their Shewhart individuals charts, allowing for the corrections to be made at an early stage of an abnormal situation.
© 2018 American Chemical Society.

ISSN号：0888-5885

卷、期、页：v 57,n 18,p6303-6316

发表日期：2018-05-09

影响因子：2.843000

期刊分区（SCI为中科院分区）：二区

收录情况：SCIE（科学引文索引网络版）,EI（工程索引）

发表期刊名称：Industrial and Engineering Chemistry Research

参与作者：Palazoglu, Ahmet

通讯作者：马曦

第一作者：张来斌,胡瑾秋,董绍华

论文类型：期刊论文

论文概要：张来斌,马曦,胡瑾秋,董绍华,Palazoglu, Ahmet，Formulation of a new trend cumulative sum chart to monitor batch process variables，Industrial and Engineering Chemistry Research，2018，v 57,n 18,p6303-6316

论文题目：Formulation of a new trend cumulative sum chart to monitor batch process variables