Blind diagnosis of a black-boxed fully-loaded wiring network for configuration structuring and fault monitoring
Résumé
Although enormous efforts have been exerted to limit the extensive reckoning on wired networks amid nowadays wirefree revolution, dispensing cables is still out of reach. Accordingly, guaranteeing a trustworthy and reliable usage of cables is necessary. Despite the fact that many techniques have been deployed for this sake, several restrictions hindered their proper application. In fact, a prior knowledge of the network's topology, disconnecting loads, and controlled measurement setups are among many other conditions that can greatly affect the performance of monitoring the cable health. On the other hand, the promising non-destructive testing abilities of reflectometry methods emphasized exploring helpful means to bypass the afore-mentioned restrictions.
In this paper, we will propose an approach based on the standard reflectometry technique jointly integrated with the graph theory and the particle swarm optimization tool in order locate defects in a fully-loaded unknown-topology transmission line network. Practical experimental results are accomplished to validate the suggested method.
Mots clés
cable
cable health
cable reliability
defect
diagnosis
blind diagnosis
reflectrometry
standard reflectometry technique
time domain reflectometry
transferometry
unknown-topology transmission line network
Network topology
Topology
topology reconstruction
Wiring
wiring network
Testing
Graph theory
Circuit fault
fault location
fault characterization
fault monitoring
fault detection
nondestructive testing
particle swarm optimisation
transmission lines
fully-loaded wiring network
configuration structuring
wirefree revolution