A simulation study on locating water trees on single core XLPE underground cables using reflectometry diagnosis techniques

Valentina Reyes; David Celeita; Gustavo Ramos

doi:10.1109/ICPS51807.2021.9416615

A simulation study on locating water trees on single core XLPE underground cables using reflectometry diagnosis techniques

Valentina Reyes
, David Celeita
, Gustavo Ramos

Research output: Chapter in Book/Inform › Conference contribution

4 Scopus citations

Abstract

This paper presents a performance assessment of Time Domain Reflectometry (TDR) and Frequency Domain Reflectometry (FDR) to locate water trees on single core XLPE cable's insulation. Three different scenarios were evaluated on each technique. The first scenario verifies the correct operation of TDR and FDR. The second scenario evaluates if each technique was able to detect a water tree at different stages on its growth through cable's insulation. Finally, the third scenario evaluates if each technique was able to locate two water trees, at different stages, on the same cable.

Original language	English (US)
Title of host publication	2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference, I and CPS 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728186320
DOIs	https://doi.org/10.1109/ICPS51807.2021.9416615
State	Published - Apr 27 2021
Externally published	Yes
Event	57th IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2021 - Las Vegas, United States Duration: Apr 27 2021 → Apr 30 2021

Publication series

Name	Conference Record - Industrial and Commercial Power Systems Technical Conference
Volume	2021-April

Conference

Conference	57th IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2021
Country/Territory	United States
City	Las Vegas
Period	4/27/21 → 4/30/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 1 No Poverty

All Science Journal Classification (ASJC) codes

General Engineering

Access to Document

10.1109/ICPS51807.2021.9416615

Cite this

Reyes, V., Celeita, D., & Ramos, G. (2021). A simulation study on locating water trees on single core XLPE underground cables using reflectometry diagnosis techniques. In 2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference, I and CPS 2021 Article 9416615 (Conference Record - Industrial and Commercial Power Systems Technical Conference; Vol. 2021-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPS51807.2021.9416615

Reyes, Valentina ; Celeita, David ; Ramos, Gustavo. / A simulation study on locating water trees on single core XLPE underground cables using reflectometry diagnosis techniques. 2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference, I and CPS 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Conference Record - Industrial and Commercial Power Systems Technical Conference).

@inproceedings{e61b03ce87314cd0bf94990c274faba1,

title = "A simulation study on locating water trees on single core XLPE underground cables using reflectometry diagnosis techniques",

abstract = "This paper presents a performance assessment of Time Domain Reflectometry (TDR) and Frequency Domain Reflectometry (FDR) to locate water trees on single core XLPE cable's insulation. Three different scenarios were evaluated on each technique. The first scenario verifies the correct operation of TDR and FDR. The second scenario evaluates if each technique was able to detect a water tree at different stages on its growth through cable's insulation. Finally, the third scenario evaluates if each technique was able to locate two water trees, at different stages, on the same cable.",

author = "Valentina Reyes and David Celeita and Gustavo Ramos",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 57th IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2021 ; Conference date: 27-04-2021 Through 30-04-2021",

year = "2021",

month = apr,

day = "27",

doi = "10.1109/ICPS51807.2021.9416615",

language = "English (US)",

series = "Conference Record - Industrial and Commercial Power Systems Technical Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference, I and CPS 2021",

address = "United States",

}

Reyes, V, Celeita, D & Ramos, G 2021, A simulation study on locating water trees on single core XLPE underground cables using reflectometry diagnosis techniques. in 2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference, I and CPS 2021., 9416615, Conference Record - Industrial and Commercial Power Systems Technical Conference, vol. 2021-April, Institute of Electrical and Electronics Engineers Inc., 57th IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2021, Las Vegas, United States, 4/27/21. https://doi.org/10.1109/ICPS51807.2021.9416615

A simulation study on locating water trees on single core XLPE underground cables using reflectometry diagnosis techniques. / Reyes, Valentina; Celeita, David; Ramos, Gustavo.
2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference, I and CPS 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9416615 (Conference Record - Industrial and Commercial Power Systems Technical Conference; Vol. 2021-April).

Research output: Chapter in Book/Inform › Conference contribution

TY - GEN

T1 - A simulation study on locating water trees on single core XLPE underground cables using reflectometry diagnosis techniques

AU - Reyes, Valentina

AU - Celeita, David

AU - Ramos, Gustavo

PY - 2021/4/27

Y1 - 2021/4/27

N2 - This paper presents a performance assessment of Time Domain Reflectometry (TDR) and Frequency Domain Reflectometry (FDR) to locate water trees on single core XLPE cable's insulation. Three different scenarios were evaluated on each technique. The first scenario verifies the correct operation of TDR and FDR. The second scenario evaluates if each technique was able to detect a water tree at different stages on its growth through cable's insulation. Finally, the third scenario evaluates if each technique was able to locate two water trees, at different stages, on the same cable.

AB - This paper presents a performance assessment of Time Domain Reflectometry (TDR) and Frequency Domain Reflectometry (FDR) to locate water trees on single core XLPE cable's insulation. Three different scenarios were evaluated on each technique. The first scenario verifies the correct operation of TDR and FDR. The second scenario evaluates if each technique was able to detect a water tree at different stages on its growth through cable's insulation. Finally, the third scenario evaluates if each technique was able to locate two water trees, at different stages, on the same cable.

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UR - https://www.scopus.com/pages/publications/85105727928#tab=citedBy

U2 - 10.1109/ICPS51807.2021.9416615

DO - 10.1109/ICPS51807.2021.9416615

M3 - Conference contribution

AN - SCOPUS:85105727928

T3 - Conference Record - Industrial and Commercial Power Systems Technical Conference

BT - 2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference, I and CPS 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 57th IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2021

Y2 - 27 April 2021 through 30 April 2021

ER -

Reyes V, Celeita D, Ramos G. A simulation study on locating water trees on single core XLPE underground cables using reflectometry diagnosis techniques. In 2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference, I and CPS 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 9416615. (Conference Record - Industrial and Commercial Power Systems Technical Conference). doi: 10.1109/ICPS51807.2021.9416615

A simulation study on locating water trees on single core XLPE underground cables using reflectometry diagnosis techniques

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this