TY - JOUR
T1 - Review of UHF-Based Signal Processing Approaches for Partial Discharge Detection
AU - Schubert, Benjamin
AU - Palo, Mauro
AU - Schlechter, Thomas
N1 - Publisher Copyright:
© 2018, Springer International Publishing AG.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/1
Y1 - 2018/1
N2 - 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.
AB - 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.
KW - Partial Discharge (PD)
KW - Ultra-high frequency
KW - Signal processing
KW - Data analysis
KW - Partial Discharge (PD)
KW - Ultra-high frequency
KW - Signal processing
KW - Data analysis
UR - http://www.scopus.com/inward/record.url?scp=85041713367&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-74727-9_26
DO - 10.1007/978-3-319-74727-9_26
M3 - Article
SN - 0302-9743
VL - 10672
SP - 219
EP - 226
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
ER -