An online application of dynamic PLS to a dearomatization process
An online application of dynamic PLS to a dearomatization process
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DOI：
10.1016/j.compchemeng.2004.07.014
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发表时间：
2004-11-15
影响因子：
4.3
通讯作者：
Jämsä-Jounela, SL
中科院分区：
文献类型：
--
作者：
Komulainen, T;Sourander, M;Jämsä-Jounela, SL
过程干扰的早期检测和过程设备故障的预测提高了过程的安全性，最大限度地减少了维护所需的时间和资源，并提高了产品的一致性质量。在线监测的目的是实时跟踪过程和过程设备的状态，尽早发现故障。本文首先回顾了过程工业中应用的在线监测方法的不同特点。描述了工业脱芳烃过程在线监测系统的系统开发，特别是闪点和蒸馏曲线分析仪。最后，离线和在线测试的监测系统使用真实的工业数据从芬兰的Fortum Naantali炼油厂的结果进行了描述和讨论。开发的在线监测应用程序成功地实现了对过程的实时监测，满足了工业要求。(C)2004爱思唯尔有限公司保留所有权利。
Early detection of process disturbances and prediction of malfunctions in process equipment improve the safety of the process, minimize the time and resources needed for maintenance, and increase the uniform quality of the products. The objective of online-monitoring is to trace the state of the process and the condition of process equipment in real-time, and to detect faults as early as possible.In this article the different properties of the online-monitoring methods applied in the process industries are first reviewed. A description of the systematic development of the online-monitoring system for an industrial dearomatization process, specifically for flash point and distillation curve analysers, is then presented. Finally, the results of offline and online tests of the monitoring system using real industrial data from the Fortum Naantali Refinery in Finland, are described and discussed. The developed online-monitoring application was successful in real-time process monitoring and it fulfilled the industrial requirements. (C) 2004 Elsevier Ltd. All rights reserved.