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Failure Detection for Transport Processes on Networks by Rolando, Edoardo; Bazzani, Armando is a scholarly article available to read on EtoBox.

What is Failure Detection for Transport Processes on Networks about?

Diffusion on complex networks is a convenient framework to describe a great variety of transport systems. Failure phenomena in a link of the network may simulate the presence of a break or a congestion effect in the system. A real time detection of failures can mitigate their effect and allow to optimize the control procedures on the transport network. The main objective of this work is to provide a dimensionality reduction technique for a transport network where a diffusive dynamics takes place, to detect presence of a failure by a limited number of observations. Our approach is based on the susceptibility response of the network state under random perturbations of the link weights. The correlations among the nodes fluctuations is exploited in order to provide the clustering procedure. The network dimensionality is therefore reduced introducing `representative nodes' for each cluster and generating a reduced network model, whose dynamical state is detected by the observations. We realize a failure identification procedure for the whole network, studying the dynamics of the coarse-grained network. The localization efficiency of the proposed clustering algorithm, averaging over all

Author

Rolando, Edoardo; Bazzani, Armando

Published

2023

Language

EN