可视化
计算机科学
数据挖掘
原始数据
航程(航空)
数据可视化
采样(信号处理)
工业工程
工程类
计算机视觉
滤波器(信号处理)
航空航天工程
程序设计语言
作者
Jônathan W.V. Dambros,Jorge Otávio Trierweiler,Marcelo Farenzena
标识
DOI:10.1016/j.compchemeng.2020.107198
摘要
The demand for high performance in industries increases as competitive pressure grows. This opens opportunities for control loop performance monitoring (CPM) techniques, which have been widely proposed over the last three decades. The large number of techniques is valuable, but it brings problems in selecting the right technique for a given application. Industrial data are not easily available due to confidential reasons. Thus, new techniques are commonly tested in a few examples that cover a limited number of scenarios. Also, the tests are not standardized and are not performed using the same dataset. This complicates the comparison of the techniques. This work shares three datasets with different features found on industries, which go from long-range raw data to selected fragments with adequate sampling time. Also, an open-source tool for SISO data visualization and analysis is provided. This tool allows for easy visualization and testing of new techniques.
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