Association rules extraction for the identification of functional dependencies in complex technical infrastructures

Federico Antonello, Piero Baraldi, Ahmed Shokry, Enrico Zio, Ugo Gentile and Luigi Serio

Reliability Engineering and System Safety, 2021, vol. 209, issue C

Abstract: This work proposes a method for identifying functional dependencies among components of complex technical infrastructures using databases of alarm messages. The developed method is based on the representation of the alarm database by a binary matrix, the use of the Apriori algorithm for mining association rules and a new algorithm for identifying groups of functionally dependent components. The effectiveness of the proposed method is shown by means of its application to an artificial case study and a real large-scale database of alarms generated by different supervision systems of the complex technical infrastructure of CERN (European Organization for Nuclear Research).

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:209:y:2021:i:c:s0951832020308012

DOI: 10.1016/j.ress.2020.107305

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