This work presents a novel method for inferring causal dependencies among abnormal behaviours of components in Complex Technical Infrastructures (CTIs) from large-scale databases of alarm messages. The proposed method extracts causal relationships from association rules performing a probabilistic analysis of the alarm occurrence times and applying a modified version of the quicksort algorithm. Its capability and effectiveness is illustrated by application to a real large-scale databases of alarm messages collected in the technical infrastructure of the European Organization for Nuclear Research (CERN).
A method for inferring casual dependencies among abnormal behaviours of components in complex technical infrastructures
Antonello F.;Baraldi P.;Zio E.;
2020-01-01
Abstract
This work presents a novel method for inferring causal dependencies among abnormal behaviours of components in Complex Technical Infrastructures (CTIs) from large-scale databases of alarm messages. The proposed method extracts causal relationships from association rules performing a probabilistic analysis of the alarm occurrence times and applying a modified version of the quicksort algorithm. Its capability and effectiveness is illustrated by application to a real large-scale databases of alarm messages collected in the technical infrastructure of the European Organization for Nuclear Research (CERN).File in questo prodotto:
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