A data processing method for chemical industry based on sensor data and process monitoring

Haodong Chen, Qing He, Guan Guan, Xian Wu, T. Xu, Yanghong Zhang, Haibin Wang
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引用次数: 2

Abstract

In order to recognizing the feature of abnormality in advance and fix the possible dirty data simultaneously, this article proposed a method to construct a proper mode for a production process producing specific product, a method to estimate the stability of a linear process and a group of data cleaning rule. Both the data processing procedure and algorithm are given detailedly with some samples and mathematical derivation in this article.
一种基于传感器数据和过程监控的化工数据处理方法
为了提前识别异常特征,同时修复可能存在的脏数据,本文提出了为生产特定产品的生产过程构建合适模型的方法、线性过程稳定性估计方法和一组数据清洗规则。文中详细地给出了数据的处理过程和算法,并给出了一些实例和数学推导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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