A Heuristic Approach Applied to Time Reversal MUSIC Method for Soft Fault Location in Noisy Transmission Line Networks
Résumé
Time-Reversal multiple signal classification (TR-MUSIC) has emerged as a promising technique to locate multiple soft faults in complex wire networks, thanks to its location accuracy and sub-millimeter resolution. The surprising ability to operate using continuous wave excitations even at low frequencies makes its readily adaptable to live wire testing. However, real-life networks are always surrounded by different sources of noise, an issue which is rarely addressed in the domain of fault detection and location. Intrinsically,
TR-MUSIC capable of resolving multiple scatterers in open media has shown resolution degrading problems in the presence of perturbations. Accordingly, we will study in this paper the effect noise can bring on the fault location accuracy in different complex wire networks. This will be followed by proposing a heuristic clustering approach which will enable returning good estimates of the fault location at signal to noise ratio (SNR) well below 5 dB.
Mots clés
cable
signal processing
statistical analysis
signal resolution
classification
clustering
pattern clustering
signal classification
electromagnetic wave propagation
diagnosis
Reflectometry
Transmission line matrix methods
Transferometry
soft fault
fault location
fault detection
Circuit faults
defect
complex wire network
live wire testing
real-life network
Scattering
Noise measurement
signal to noise ratio
Frequency measurement
TR-MUSIC
multiple scatterers
fault location accuracy
heuristic clustering approach
heuristic approach applied
time reversal MUSIC method
soft fault location
noisy transmission line networks
time-reversal multiple signal classification
multiple soft faults
sub-millimeter resolution
continuous wave excitations
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