Clustering plots for the separation of partial discharge sources based on amplitude, charge and energy of PD pulses

A. Rodrigo Mor; L.C. Castro Heredia; F.A. Muñoz  Muñoz

doi:10.23919/INSUCON.2017.8097196

Clustering plots for the separation of partial discharge sources based on amplitude, charge and energy of PD pulses

A. Rodrigo Mor, L.C. Castro Heredia, F.A. Muñoz Muñoz

DC systems, Energy conversion & Storage

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

It is almost always the case that multiple partial discharge (PD) sources are active in high-voltage equipment as a result of insulation defects or ageing. Therefore, over the years, different clustering techniques have been tested and used, so that each individual PD source can be separated and subsequently recognized, e.g. by means of the phase resolved PD patterns (PRPD)[1].

Original language	English
Title of host publication	13th International Electrical Insulation Conference, INSUCON 2017
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-1-9998-1569-1
DOIs	https://doi.org/10.23919/INSUCON.2017.8097196
Publication status	Published - 2017
Event	INSUCON 2017: 13th International Electrical Insulation Conference - Birmingham, United Kingdom Duration: 16 May 2017 → 18 May 2017 Conference number: 13

Conference

Conference	INSUCON 2017
Abbreviated title	INSUCON
Country/Territory	United Kingdom
City	Birmingham
Period	16/05/17 → 18/05/17

Keywords

Partial discharges
Discharges (electric)
Corona
Fault location
Shape
Electrodes

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10.23919/INSUCON.2017.8097196

Cite this

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title = "Clustering plots for the separation of partial discharge sources based on amplitude, charge and energy of PD pulses",

abstract = "It is almost always the case that multiple partial discharge (PD) sources are active in high-voltage equipment as a result of insulation defects or ageing. Therefore, over the years, different clustering techniques have been tested and used, so that each individual PD source can be separated and subsequently recognized, e.g. by means of the phase resolved PD patterns (PRPD)[1].",

keywords = "Partial discharges, Discharges (electric), Corona, Fault location, Shape, Electrodes",

author = "Mor, {A. Rodrigo} and {Castro Heredia}, L.C. and {Mu{\~n}oz Mu{\~n}oz}, F.A.",

year = "2017",

doi = "10.23919/INSUCON.2017.8097196",

language = "English",

pages = "1--6",

booktitle = "13th International Electrical Insulation Conference, INSUCON 2017",

publisher = "IEEE",

address = "United States",

note = "INSUCON 2017 : 13th International Electrical Insulation Conference, INSUCON ; Conference date: 16-05-2017 Through 18-05-2017",

}

Mor, AR, Castro Heredia, LC & Muñoz Muñoz, FA 2017, Clustering plots for the separation of partial discharge sources based on amplitude, charge and energy of PD pulses. in 13th International Electrical Insulation Conference, INSUCON 2017., 8097196, IEEE, Piscataway, NJ, pp. 1-6, INSUCON 2017, Birmingham, United Kingdom, 16/05/17. https://doi.org/10.23919/INSUCON.2017.8097196

Clustering plots for the separation of partial discharge sources based on amplitude, charge and energy of PD pulses. / Mor, A. Rodrigo; Castro Heredia, L.C.; Muñoz Muñoz, F.A.
13th International Electrical Insulation Conference, INSUCON 2017. Piscataway, NJ: IEEE, 2017. p. 1-6 8097196.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Clustering plots for the separation of partial discharge sources based on amplitude, charge and energy of PD pulses

AU - Mor, A. Rodrigo

AU - Castro Heredia, L.C.

AU - Muñoz Muñoz, F.A.

N1 - Conference code: 13

PY - 2017

Y1 - 2017

N2 - It is almost always the case that multiple partial discharge (PD) sources are active in high-voltage equipment as a result of insulation defects or ageing. Therefore, over the years, different clustering techniques have been tested and used, so that each individual PD source can be separated and subsequently recognized, e.g. by means of the phase resolved PD patterns (PRPD)[1].

AB - It is almost always the case that multiple partial discharge (PD) sources are active in high-voltage equipment as a result of insulation defects or ageing. Therefore, over the years, different clustering techniques have been tested and used, so that each individual PD source can be separated and subsequently recognized, e.g. by means of the phase resolved PD patterns (PRPD)[1].

KW - Partial discharges

KW - Discharges (electric)

KW - Corona

KW - Fault location

KW - Shape

KW - Electrodes

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U2 - 10.23919/INSUCON.2017.8097196

DO - 10.23919/INSUCON.2017.8097196

M3 - Conference contribution

AN - SCOPUS:85040546540

SP - 1

EP - 6

BT - 13th International Electrical Insulation Conference, INSUCON 2017

PB - IEEE

CY - Piscataway, NJ

T2 - INSUCON 2017

Y2 - 16 May 2017 through 18 May 2017

ER -

Clustering plots for the separation of partial discharge sources based on amplitude, charge and energy of PD pulses

Abstract

Conference

Keywords

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