Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Cody LaFlamme"'
Autor:
Ayobami S. Edun, Cody LaFlamme, Samuel R. Kingston, Cynthia M. Furse, Michael A. Scarpulla, Joel B. Harley
Publikováno v:
IEEE Sensors Journal. 22:3484-3492
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98052f64a994b2b7cabe839ecb7fec79
https://doi.org/10.1109/jsen.2022.3140922
https://doi.org/10.1109/jsen.2022.3140922
Publikováno v:
IEEE Sensors Journal. 21:16134-16140
Unexpected results have been seen in multiple papers involving spread spectrum time domain reflectometry (SSTDR) measurements on twin lead cables with one line containing a fault. A small portion of the signal is able to transmit past the fault, refl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea60da3d87bed07cd1b0bf687d77c63e
https://doi.org/10.1109/jsen.2021.3075363
https://doi.org/10.1109/jsen.2021.3075363
Autor:
Joel B. Harley, Michael A. Scarpulla, Ayobami S. Edun, Cody LaFlamme, Cynthia Furse, Samuel Kingston, Evan Benoit
Publikováno v:
IEEE Journal of Photovoltaics. 11:1097-1104
In this article, we explore the possibility of using spread spectrum time domain reflectometry (SSTDR) for detecting disconnections in a large-scale photovoltaic (PV) array. We discuss the importance, role, and trade-offs of SSTDR resolution, frequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dee7b018fc877570f1aa4b5063e44463
https://doi.org/10.1109/jphotov.2021.3081437
https://doi.org/10.1109/jphotov.2021.3081437
Autor:
Michael A. Scarpulla, Hunter D. Ellis, Joel B. Harley, Ayobami S. Edun, Cody LaFlamme, Samuel Kingston, Jack Mismash, Evan Benoit, Cynthia Furse
Publikováno v:
IEEE Sensors Journal. 21:9890-9899
Spread spectrum time domain reflectometry (SSTDR) is a non-intrusive method for electrical fault detection and localization that enables continuous monitoring of live electrical systems. Electrical faults create changes in impedance that create subse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c144697c84cce6a967217c0eccdeb9e0
https://doi.org/10.1109/jsen.2021.3059412
https://doi.org/10.1109/jsen.2021.3059412
Autor:
Cynthia Furse, Joel B. Harley, Ayobami S. Edun, Evan Benoit, Harsha Vardhan Tetali, Cody LaFlamme, Samuel Kingston, Michael A. Scarpulla
Publikováno v:
IEEE Sensors Journal. 21:4855-4865
This article explains the use of supervised and unsupervised dictionary learning approaches on spread spectrum time domain (SSTDR) data to detect and locate disconnections in a PV array consisting of five panels. The aim is to decompose an SSTDR refl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80b0aca4449fa20ef2cad1204ab3bde3
https://doi.org/10.1109/jsen.2020.3029707
https://doi.org/10.1109/jsen.2020.3029707
