A Niching Augmented Evolutionary Algorithm for the Identification of Functional Dependencies in Complex Technical Infrastructures From Alarm Data

Functional dependencies in complex technical infrastructures can cause unexpected cascades of failures, with major consequences on availability. For this reason, they must be identified and managed. In recent works, the authors have proposed to use association rule mining for identifying functional dependencies in complex technical infrastructures from alarm data. For this, it is important to have adequate metrics for assessing the effectiveness of the association rules identifying the functional dependencies. This work demonstrates the limitations of traditional metrics, such as lift, interestingness, cosine and laplace, and proposes a novel metric to measure the level of dependency among groups of alarms. The proposed metric is compared to the traditional metrics with reference to a synthetic case study and, then, applied to a large-scale database of alarms collected from the complex technical infrastructure of CERN (European Organization for Nuclear Research). The results confirm the effectiveness of the proposed metric of evaluation of association rules in identifying functional dependencies.

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A Novel Metric to Evaluate the Association Rules for Identification of Functional Dependencies in Complex Technical Infrastructures

Antonello

Baraldi

Zio

et al. 2022

Environ Syst Decis

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A Niching Augmented Evolutionary Algorithm for the Identification of Functional Dependencies in Complex Technical Infrastructures From Alarm Data

Cited by 3 publications

References 48 publications

A Novel Metric to Evaluate the Association Rules for Identification of Functional Dependencies in Complex Technical Infrastructures

A Novel Metric to Evaluate the Association Rules for Identification of Functional Dependencies in Complex Technical Infrastructures

A novel physics-based computational framework to model spacecraft solar array power under degradation: Application to European Space Agency (ESA) Cluster mission

A multi-objective optimization model for identifying groups of critical elements in a high-speed train

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