Partial Discharge (PD) events are due to local defects in dielectrics and can cause damages to the electrical insulation and eventually to the whole power station. This paper reviews approaches describing procedures and numerical techniques for detecting, denoising, clustering, and classifying PDs in the ultra-high frequency range. For each method the mathematical background is recalled and one or few representative examples from selected papers are shortly described.
Review of UHF-Based Signal Processing Approaches for Partial Discharge Detection / Schubert, B.; Palo, M.; Schlechter, T.. - 10672:(2018), pp. 219-226. (Intervento presentato al convegno 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017 tenutosi a esp nel 2017) [10.1007/978-3-319-74727-9_26].
Review of UHF-Based Signal Processing Approaches for Partial Discharge Detection
Palo M.;
2018
Abstract
Partial Discharge (PD) events are due to local defects in dielectrics and can cause damages to the electrical insulation and eventually to the whole power station. This paper reviews approaches describing procedures and numerical techniques for detecting, denoising, clustering, and classifying PDs in the ultra-high frequency range. For each method the mathematical background is recalled and one or few representative examples from selected papers are shortly described.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
