Investigation of partial discharge characteristics in XLPE cable insulation under increasing electrical stress
Bibliographic record
Abstract
No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.
Source: Not provided · Quality: missing
Research context
OpenAlex topics: High voltage insulation and dielectric phenomena · Power Transformer Diagnostics and Insulation · Electrical Fault Detection and Protection
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (30)
Show source-provided references
1. Europacable, An Introduction to Medium and Low Voltage Cables in Distribution Networks as support of Smart Grids, 2014.
2. M. Choudhary, M. Shafiq, I. Kiitam, A. Hussain, I. Palu, and P. Taklaja, A review of aging models for electrical insulation in power cables, Energies 15(9), MDPI, May 01, 2022.10.3390/en15093408 ↗
3. E. Maggioli, H. Leite, and C. Morais, A survey of the Portuguese MV underground cable failure, International Conference on the European Energy Market, (EEM), Porto, Portugal, 2016.10.1109/EEM.2016.7521217 ↗
4. Partial discharge diagnostics: from apparatus monitoring to smart grid assessment10.1109/MEI.2013.6507409 ↗
5. IEC-60270:2000+AMD1; High-Voltage Test Techniques-Partial Discharge Measurements, International Electrotechnical Commission, 2015.
6. Partial discharges their mechanism, detection and measurement10.1109/TDEI.2002.1038663 ↗
7. Nguyen · 2018
8. Evaluation of surface changes in flat cavities due to ageing by means of phase-angle resolved partial discharge measurement10.1088/0022-3727/33/6/303 ↗
9. Fundamentals of partial discharge in the context of field cable testing10.1109/57.871416 ↗
10. Degradation of solid dielectrics due to internal partial discharge: some thoughts on progress made and where to go now10.1109/TDEI.2005.1522185 ↗
11. Partial discharge experimental study for medium voltage DC cables10.1109/TPWRD.2020.3002508 ↗
12. Measurement and diagnosis of PD characteristics of industrial cable terminations in extreme cold environment
13. Investigating the progression of insulation degradation in power cable based on partial discharge measurements10.1016/j.epsr.2023.109452 ↗
14. Classification of simultaneous multiple partial discharge sources based on probabilistic interpretation using a two-step logistic regression algorithm10.1109/TDEI.2016.005887 ↗
15. Investigating the effect of cavity size within medium-voltage power cable on partial discharge behaviour10.1049/iet-gtd.2017.1012 ↗
16. Pulse Sequence Analysis-a diagnostic tool based on the physics behind partial discharges10.1088/0022-3727/35/1/306 ↗
17. Trends in partial discharge pattern classification: a survey10.1109/TDEI.2005.1430395 ↗
18. Classification of defects and evaluation of electrical tree degradation in cable insulation using pattern recognition method and weibull process of partial discharge
19. A Denoising algorithm for partial discharge measurement based on the combination of wavelet threshold and total variation theory10.1109/TIM.2019.2938905 ↗
20. Interpretation of wavelet analysis and its application in partial discharge detection10.1109/TDEI.2002.1007709 ↗
21. Investigations on leakage current and phase angle characteristics of porcelain and polymeric insulator under contaminated conditions10.1109/TDEI.2009.4815193 ↗
22. Detection of corona and dry-band arc discharges on nano-composite epoxy insulators using RF sensing
23. Characteristic pulse pattern features of different types of partial discharge sources in power cables
24. M. Choudhary, M. Shafiq, I. Kiitam, I. Palu, P. Taklaja, Study on the progression of surface partial discharge in power cables, in: IEEE 63rd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 2022.10.1109/RTUCON56726.2022.9978804 ↗
25. Neter · 1996
26. Seber · 1977
27. A.J. Smola, B.J.S. Scholkopf ¨, Computing. In: A tutorial on support vector regression. 14, 2004, p. 199–222.10.1023/B:STCO.0000035301.49549.88 ↗
28. E. Schulz, M. Speekenbrink, A.J.Jo.M.P. Krause, A Tutorial on Gaussian Process Regression: Modelling, Exploring, and Exploiting Functions 85 (2018) 1–16.10.1016/j.jmp.2018.03.001 ↗
29. D. Chicco, M.J. Warrens, G. Jurman, The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in Regression Analysis Evaluation, 2021.10.7717/peerj-cs.623 ↗
30. Performance testing of an optical ground wire composite