A class of adaptive management strategies of nuisance alarms associatedwith industrial process parameters

WANG Jia; LI Hongguang

doi:10.11949/j.issn.0438-1157.20150206

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A class of adaptive management strategies of nuisance alarms associatedwith industrial process parameters

更新时间：2025-12-10

- A class of adaptive management strategies of nuisance alarms associatedwith industrial process parameters
- CIESC Journal Issue 10, Pages: 4085-4091(2015)
- 作者机构：
  
  北京化工大学信息科学与技术学院,北京,100029
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20150206
  CLC： P277
- Online First：05 October 2015，
  
  Published：05 October 2015
- 稿件说明：
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WANG Jia, LI Hongguang. A class of adaptive management strategies of nuisance alarms associatedwith industrial process parameters[J]. CIESC Journal, 2015, (10): 4085-4091.
DOI：

WANG Jia, LI Hongguang. A class of adaptive management strategies of nuisance alarms associatedwith industrial process parameters[J]. CIESC Journal, 2015, (10): 4085-4091. DOI： 10.11949/j.issn.0438-1157.20150206.

摘要

滋扰报警是过程工业报警系统的主要问题

然而

目前报警优化方法一般敏感度低、可靠性差

根据报警变量之间的时间间隔和报警持续时间确定滋扰报警的形式

提出了自适应报警死区和报警延时器的计算方法

利用时间序列ARMA模型预测报警死区来处理高频报警

并利用报警间隔时间更新报警延时器参数n来处理低频报警。通过工业实例数据验证表明

所提出的方法能够有效减少滋扰报警的数量、提高报警系统的性能。

Abstract

Nuisance alarms are recognized as the major problem in the process industry. However

current alarm optimization methods usually suffer difficulties such as low sensitivity and poor reliability. In this paper

based on alarm interval and alarm duration of alarm data

the types of nuisance alarms are determined before an adaptive method to effectively determine the delay timers and alarm deadbands. An ARMA model is established to forecast adaptive alarm deadbands which are employed to deal with high frequency alarms

while the alarm delays updated by adaptively adjusting alarm time intervals are used to deal with low frequency alarms. Experiments with industrial process data are carried out

illustrating that the proposed method can reduce the numbers of false and missed alarms as well as improve the performance of alarm systems.

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