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Causal analysis for alarm flood reduction

Rodrigo, Vicent; Chioua, Moncef; Hägglund, Tore LU and Hollender, Martin (2016) IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS) 2016 In 11th IFAC Symposium on Dynamics and Control of Process SystemsIncluding Biosystems 49(7). p.723-728
Abstract
The introduction of distributed control systems and the high level of interconnectivity of modern process plants has caused alarm flooding to become one of the main problems in alarm management of process plants. A reduction of alarm flood periods contributes to a decrease in plant incidents. In this work, a combination of alarm log, process data and connectivity analysis is used to isolate consequence alarms originating from the same process abnormality and to provide a causal alarm suggestion. The effectiveness of the method is illustrated on an industrial case study of an ethylene plant, a typical example of a large-scale industrial system.
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
approximate sequence matching, large-scale systems, alarm systems, fault detection and diagnosis, root-cause, plant-wide disturbance, plant connectivity
in
11th IFAC Symposium on Dynamics and Control of Process SystemsIncluding Biosystems
volume
49
issue
7
pages
723 - 728
publisher
IFAC
conference name
IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS) 2016
external identifiers
  • scopus:84991032325
  • wos:000381504800122
ISSN
2405-8963
DOI
10.1016/j.ifacol.2016.07.269
language
English
LU publication?
yes
id
bd92ffc6-2c79-4af4-aa74-c648c9072fa7
date added to LUP
2017-01-12 16:34:33
date last changed
2017-10-01 05:29:48
@inproceedings{bd92ffc6-2c79-4af4-aa74-c648c9072fa7,
  abstract     = {The introduction of distributed control systems and the high level of interconnectivity of modern process plants has caused alarm flooding to become one of the main problems in alarm management of process plants. A reduction of alarm flood periods contributes to a decrease in plant incidents. In this work, a combination of alarm log, process data and connectivity analysis is used to isolate consequence alarms originating from the same process abnormality and to provide a causal alarm suggestion. The effectiveness of the method is illustrated on an industrial case study of an ethylene plant, a typical example of a large-scale industrial system.},
  author       = {Rodrigo, Vicent and Chioua, Moncef and Hägglund, Tore and Hollender, Martin},
  booktitle    = {11th IFAC Symposium on Dynamics and Control of Process SystemsIncluding Biosystems},
  issn         = {2405-8963},
  keyword      = { approximate sequence matching,large-scale systems,alarm systems, fault detection and diagnosis, root-cause, plant-wide disturbance, plant connectivity},
  language     = {eng},
  number       = {7},
  pages        = {723--728},
  publisher    = {IFAC},
  title        = {Causal analysis for alarm flood reduction},
  url          = {http://dx.doi.org/10.1016/j.ifacol.2016.07.269},
  volume       = {49},
  year         = {2016},
}