A Performance Analysis of Optimization Algorithms for Wiring Network Reconstruction and Diagnosis based on Reflectometry
Abstract
During the last decade, time domain reflectometry (TDR) methods have formed the cornerstone for the diagnosis of transmission line networks. They have been adopted recently to the blind characterization of networks, thanks to graph theory and optimization based algorithms. Using a single testing point, it became possible to reconstruct the topology of a black-boxed network while returning precise estimates of branch lengths and most importantly load impedances. In other words, disconnecting the network for testing purposes is no longer needed. In this paper, we opted to perform a comparative analysis to study the effect of different optimisation based algorithms on the applicability of the aforementioned method. Particularly, we designed CAN bus networks based on real aeronautical cables of increased complexity to investigate their performance in terms of precision and computational burden.
Keywords
cable
diagnosis
defect
Reflectometry
Transferometry
fault diagnosis
graph theory
optimisation
time-domain reflectometry
transmission lines
wiring
Complex wire networks
topology reconstruction
inverse problems
optimisation algorithm
signal processing
branch length estimation
CAN bus networks
real aeronautical cable
network blind characterization
transmission line network diagnosis
TDR methods
wiring network diagnosis
black-boxed network
single testing point
time domain reflectometry methods
wiring network reconstruction
performance analysis
bus networks
testing purposes
load impedances
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