Alarm management practices in natural gas processing plants

被引：21

作者：

Soares, Vinicius Barroso ^{[1
]}

Pinto, Jose Carlos ^{[1
]}

de Souza, Mauricio Bezerra, Jr. ^{[2
]}

机构：

[1] Univ Fed Rio de Janeiro, COPPE, Programa Engn Quim, Cidade Univ,CP 68502, BR-21941972 Rio De Janeiro, RJ, Brazil

[2] Univ Fed Rio de Janeiro, Escola Quim, Dept Engn Quim, BR-21941909 Rio De Janeiro, RJ, Brazil

来源：

CONTROL ENGINEERING PRACTICE | 2016年 / 55卷

关键词：

Natural gas processing plants; Alarm management; Correlation analysis; Principal component analysis; Cluster analysis; ONLINE METHOD; PART; MULTIVARIATE;

D O I：

10.1016/j.conengprac.2016.07.004

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In industrial data sets, groups of variables often move together. Monitoring all these variables may result in many nuisance alarms. However, it is possible to take advantage of redundant information to design and reduce the size of alarm sets. The present work reports the application of an alarm management protocol based on alarm priorization to three large Natural Gas Processing Plants, during a three year period, and also investigates the use of different correlation analyses techniques as tools to assist in the further reduction of the number of alarms. The results show that the adopted practices enable the reduction of alarms. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：185 / 196

页数：12

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