A SSTDR Methodology, Implementations, and Challenges

Sequence time-domain reflectometry (STDR) and spread spectrum time-domain reflectometry (SSTDR) detect, locate, and diagnose faults in live (energized) electrical systems. In this paper, we survey the present SSTDR literature for discussions on theory, algorithms used in its analysis, and its more p...

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Detalles Bibliográficos
Autores principales: Kingston, Samuel, Benoit, Evan, Edun, Ayobami S., Elyasichamazkoti, Farhad, E. Sweeney, Dawn, Harley, Joel B., Kuhn, Paul K., Furse, Cynthia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401953/
https://www.ncbi.nlm.nih.gov/pubmed/34450711
http://dx.doi.org/10.3390/s21165268
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author Kingston, Samuel
Benoit, Evan
Edun, Ayobami S.
Elyasichamazkoti, Farhad
E. Sweeney, Dawn
Harley, Joel B.
Kuhn, Paul K.
Furse, Cynthia M.
author_facet Kingston, Samuel
Benoit, Evan
Edun, Ayobami S.
Elyasichamazkoti, Farhad
E. Sweeney, Dawn
Harley, Joel B.
Kuhn, Paul K.
Furse, Cynthia M.
author_sort Kingston, Samuel
collection PubMed
description Sequence time-domain reflectometry (STDR) and spread spectrum time-domain reflectometry (SSTDR) detect, locate, and diagnose faults in live (energized) electrical systems. In this paper, we survey the present SSTDR literature for discussions on theory, algorithms used in its analysis, and its more prominent implementations and applications. Our review includes both scientific litera-ture and selected patents. We also discuss future applications of SSTDR.
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spelling pubmed-84019532021-08-29 A SSTDR Methodology, Implementations, and Challenges Kingston, Samuel Benoit, Evan Edun, Ayobami S. Elyasichamazkoti, Farhad E. Sweeney, Dawn Harley, Joel B. Kuhn, Paul K. Furse, Cynthia M. Sensors (Basel) Review Sequence time-domain reflectometry (STDR) and spread spectrum time-domain reflectometry (SSTDR) detect, locate, and diagnose faults in live (energized) electrical systems. In this paper, we survey the present SSTDR literature for discussions on theory, algorithms used in its analysis, and its more prominent implementations and applications. Our review includes both scientific litera-ture and selected patents. We also discuss future applications of SSTDR. MDPI 2021-08-04 /pmc/articles/PMC8401953/ /pubmed/34450711 http://dx.doi.org/10.3390/s21165268 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Kingston, Samuel
Benoit, Evan
Edun, Ayobami S.
Elyasichamazkoti, Farhad
E. Sweeney, Dawn
Harley, Joel B.
Kuhn, Paul K.
Furse, Cynthia M.
A SSTDR Methodology, Implementations, and Challenges
title A SSTDR Methodology, Implementations, and Challenges
title_full A SSTDR Methodology, Implementations, and Challenges
title_fullStr A SSTDR Methodology, Implementations, and Challenges
title_full_unstemmed A SSTDR Methodology, Implementations, and Challenges
title_short A SSTDR Methodology, Implementations, and Challenges
title_sort sstdr methodology, implementations, and challenges
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401953/
https://www.ncbi.nlm.nih.gov/pubmed/34450711
http://dx.doi.org/10.3390/s21165268
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