Locating Multiple Soft Faults in Wire Networks Using an Alternative DORT Implementation

Kafal, Moussa; Cozza, Andréa; Pichon, Lionel

doi:10.1109/tim.2015.2498559

Cited by 48 publications

(30 citation statements)

References 21 publications

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“…As a matter of what has been presented in [6], the global scattering matrix containing all the faults' signatures, can be divided into multiple scattering matrices each containing one of the fault's response that is…”

Section: Enhanced Dort Methodsmentioning

confidence: 99%

An efficient technique based on DORT method to locate multiple soft faults in wiring networks

Kafal

Cozza

Pichon

2015

2015 Ieee Autotestcon

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Section: Enhanced Dort Methodsmentioning

confidence: 99%

An efficient technique based on DORT method to locate multiple soft faults in wiring networks

Kafal

Cozza

Pichon

2015

2015 Ieee Autotestcon

Self Cite

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“…Other approaches implementable with PLMs are based on the decomposition of the time reversal operator (DORT) [26]. These approaches are specifically designed to detect and localize very weak faults along the network, but they need a simulator with a complete topological and electrical model of the network in order to work.…”

Section: Anomaly Localization: Multiple Sensorsmentioning

confidence: 99%

Smart Grid Monitoring Using Power Line Modems: Anomaly Detection and Localization

Passerini

Tonello

2019

IEEE Trans. Smart Grid

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The main subject of this paper is the sensing of network anomalies that span from harmless impedance changes at some network termination to more or less pronounced electrical faults, considering also cable degradation over time. In this paper, we present how to harvest information about such anomalies in distribution grids using high frequency signals spanning from few kHz to several MHz. Given the wide bandwidth considered, we rely on power line modems as network sensors. We firstly discuss the front-end architectures needed to perform the measurement and then introduce two algorithms to detect, classify and locate the different kinds of network anomalies listed above. Simulation results are finally presented. They validate the concept of sensing in smart grids using power line modems and show the efficiency of the proposed algorithms.

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“…Therefore, by feeding the array using the eigenvectors associated with a given eigenvalue, it is possible to selectively transmit waves onto a detected target of interest, either physically for focusing electromagnetic energy at the scatterer or virtually for imaging purposes. For this reason, DORT has been studied for various applications [1][2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Embedded Resonances for Discrimination of Multiple Passive Nonlinear Targets Applicable to Dort

Hong¹,

Park²

2019

PIER M

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This paper presents a method to distinguish multiple passive nonlinear targets, which can be applied to detection and selective wave focusing based on the decomposition of the time-reversal operator (DORT). A recent demonstration of DORT applied to harmonic scattering has shown that passive nonlinear targets (scatterers) can be detected in the presence of linear scatterers and separated into discrete eigenvalues. While DORT is effective in detecting multiple nonlinear targets, it could be difficult to discriminate these nonlinear scatters as their harmonic responses would look similar to each other. Our proposed approach to overcoming this difficulty is based on simply embedding a unique resonant notch in the second harmonic band for each nonlinear scatter, so as to make the notch appear in the associated eigenvalue, permitting identification and discrimination of the scatterer. We numerically demonstrate the basic feasibility of the proposed idea by considering various configurations in a two-dimensional model. The results show that a uniquely embedded resonant notch in a nonlinear target consistently appears in the corresponding eigenvalue of the time reversal operator, allowing it to be a reliable identifying feature. Further investigation into this technique holds promise towards smart wireless power transfer, biomedical, and IoT applications.

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Locating Multiple Soft Faults in Wire Networks Using an Alternative DORT Implementation

Cited by 48 publications

References 21 publications

An efficient technique based on DORT method to locate multiple soft faults in wiring networks

An efficient technique based on DORT method to locate multiple soft faults in wiring networks

Smart Grid Monitoring Using Power Line Modems: Anomaly Detection and Localization

Embedded Resonances for Discrimination of Multiple Passive Nonlinear Targets Applicable to Dort

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