6533b7d0fe1ef96bd125b98b

RESEARCH PRODUCT

Statistical analysis techniques for Partial Discharges measurement under DC voltage

Fatta A. D.Romano P.Imburgia A.Rizzo G.Vigni V. L.Albertini M.Bononi S. F.

subject

Density-Based ClusteringSettore ING-IND/31 - ElettrotecnicaHVDCPartial Discharge (PD)Time-Frequency map

description

Partial discharges (PD) phenomenon for HVAC (High-Voltage-Alternating-Current) systems has already been widely studied in literature and from this it has been possible to produce a regulatory document that provides indications for description and identification of the different types of discharges. However, the growing diffusion of HVDC (High-Voltage-Direct-Current) systems makes necessary the development of analysis techniques also for DC case. In this paper data obtained from PD measurement under DC voltage were analyzed through the time-frequency map combined with a density-based clustering algorithm. The results show that, with this approach, it's possible to perform a noise rejection and recognize PD pulses of different sources.

yearjournalcountryeditionlanguage
2022-07-032022 IEEE 4th International Conference on Dielectrics (ICD)
https://doi.org/10.1109/icd53806.2022.9863226