You are here: MIMS > EPrints
MIMS EPrints

2015.19: Detecting and Reducing Redundancy in Alarm Networks

2015.19: Timothy D. Butters, Stefan Güttel and Jonathan L. Shapiro (2015) Detecting and Reducing Redundancy in Alarm Networks.

There is a more recent version of this eprint available. Click here to view it.

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1659 Kb


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 2000 > 65 Numerical analysis
MIMS number:2015.19
Deposited By:Stefan Güttel
Deposited On:17 March 2015

Available Versions of this Item

Download Statistics: last 4 weeks
Repository Staff Only: edit this item