Pinto Sampaio Gomes, Douglas
< Back to all AuthorsNumber of items: 8.
Group by: Item type | Date
Article
Ozansoy, Cagil 
ORCID: 0000-0002-9375-9571 and Pinto Sampaio Gomes, Douglas ORCID: 0000-0003-2610-0678
(2020)
Volatility Diagnosis in Phase-to-Phase Fault Detection for Branch Across Wire Faults.
IEEE Transactions on Power Delivery.
ISSN 0885-8977
Pinto Sampaio Gomes, Douglas ORCID: 0000-0003-2610-0678, Ozansoy, Cagil ORCID: 0000-0002-9375-9571, Ulhaq, A and de Melo Vieira Júnior, JC
(2019)
The effectiveness of different sampling rates in vegetation high-impedance fault classification.
Electric Power Systems Research, 174.
ISSN 0378-7796
Pinto Sampaio Gomes, Douglas ORCID: 0000-0003-2610-0678, Ozansoy, Cagil ORCID: 0000-0002-9375-9571 and Ulhaq, Anwaar ORCID: 0000-0002-5145-7276
(2019)
Vegetation High-Impedance Faults' High-Frequency Signatures via Sparse Coding.
ArXiv.
Pinto Sampaio Gomes, Douglas ORCID: 0000-0003-2610-0678, Ozansoy, Cagil ORCID: 0000-0002-9375-9571 and Ulhaq, Anwaar ORCID: 0000-0002-5145-7276
(2018)
High-Sensitivity Vegetation High-Impedance Fault Detection Based on Signal's High-Frequency Contents.
IEEE Transactions on Power Delivery, 33 (3).
1398 - 1407.
ISSN 0885-8977
Kempner, Thais R, Oleskovicz, Mário and Pinto Sampaio Gomes, Douglas ORCID: 0000-0003-2610-0678
(2017)
Optimal monitoring of voltage sags through simultaneous analysis of short-circuits in distribution systems.
IET Generation, Transmission & Distribution, 11 (7).
1801 - 1808.
ISSN 1751-8687
Conference or Workshop Item
Pinto Sampaio Gomes, Douglas ORCID: 0000-0003-2610-0678 and Ozansoy, Cagil ORCID: 0000-0002-9375-9571
(2020)
A Low-Cost Prototype for an Online High-Impedance Vegetation Fault Detection Module.
In: AUPEC 2020, 29 Nov 2020 - 3 Dec 2020, Hobart, Australia.
Pinto Sampaio Gomes, Douglas ORCID: 0000-0003-2610-0678, Ozansoy, Cagil ORCID: 0000-0002-9375-9571 and Ulhaq, Anwaar ORCID: 0000-0002-5145-7276
(2018)
High-Frequency Spectral Analysis of High Impedance Vegetation Faults on a Three-wire System.
In: Australasian Universities Power Engineering Conference 2017, 19 November 2017-22 November 2017, Melbourne, Australia.
Thesis
Pinto Sampaio Gomes, Douglas (2020) Vegetation High-Impedance Fault Detection and Characterization using Machine Learning. PhD thesis, Victoria University.