一种基于传感器数据和过程监控的化工数据处理方法

2016 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2016-08-01 DOI:10.1109/ICINFA.2016.7831922

Haodong Chen, Qing He, Guan Guan, Xian Wu, T. Xu, Yanghong Zhang, Haibin Wang

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引用次数: 2

摘要

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

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.

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2016 IEEE International Conference on Information and Automation (ICIA)

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