Analytical Derivation and Comparison of Alarm Similarity Measures
Abstract
An industrial process includes many devices, variables, and sub-processes that are physically or electronically interconnected. These interconnections imply some level of correlation between different process variables. Since most of the alarms in a process plant are defined on process variables, alarms are also correlated. However, this can be a nuisance to operators, for one fault might trigger a, sometimes large, number of alarms. So, it is essential to find and correct correlated alarms. In this paper, we study different methods and techniques proposed to measure correlation or similarity between alarms. The similarity indices are first analytically calculated and then studied and compared. The results are also validated using Monte-Carlo simulation.
Keywords
Cite
@article{arxiv.2003.10600,
title = {Analytical Derivation and Comparison of Alarm Similarity Measures},
author = {Amir Hossein Kargaran and Amir Neshastegaran and Iman Izadi and Ehsan Yazdian},
journal= {arXiv preprint arXiv:2003.10600},
year = {2021}
}
Comments
6 pages, 6 figures. This work has been accepted to the 16th IFAC Symposium on Advanced Control of Chemical Processes as an open access article under the CC-BY-NC-ND license