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.
| Original language | English |
|---|---|
| Pages (from-to) | 219-226 |
| Number of pages | 8 |
| Journal | Lecture Notes in Computer Science |
| Volume | 10672 |
| DOIs | |
| Publication status | Published - Jan 2018 |
Keywords
- Partial Discharge (PD)
- Ultra-high frequency
- Signal processing
- Data analysis
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