Detecting and Reducing Redundancy in Alarm Networks

Butters, Timothy D. and Güttel, Stefan and Shapiro, Jonathan L. (2015) Detecting and Reducing Redundancy in Alarm Networks. [MIMS Preprint]

Warning
There is a more recent version of this item available.
[thumbnail of paper_new.pdf] PDF
paper_new.pdf
Download (1MB)

Abstract

Alarm systems are vital for the safe operation of almost all large-scale industrial and technical installations, such as chemical plants or power stations. The optimization of alarm systems has great potential to improve the safety of these installations, and also to increase their profitability through the reduction of automated shut-downs and suboptimal operation modes. In this work we present a new approach to alarm system optimization through the identification of redundant alarms. Our approach is based on a ranking of alarms by their connectivity in the alarm network. We also propose an overall redundancy measure for the alarm system which can be used to monitor performance improvements after redundant alarms have been removed. We present an example demonstrating that our ranking technique provides operational staff with useful information, allowing them to enhance the effectiveness of their existing alarm systems.

Item Type: MIMS Preprint
Subjects: MSC 2010, the AMS's Mathematics Subject Classification > 65 Numerical analysis
Depositing User: Stefan Güttel
Date Deposited: 17 Mar 2015
Last Modified: 08 Nov 2017 18:18
URI: https://eprints.maths.manchester.ac.uk/id/eprint/2272

Available Versions of this Item

Actions (login required)

View Item View Item