Abstract
On-line Partial Discharge (PD) monitoring is being increasingly adopted in an effort to improve asset management of the vast network of MV and HV power cables. This paper presents a novel method for autonomous recognition of PD patterns recorded under conditions in which a phase-reference voltage waveform from the HV conductors is not available, as is often the case in on-line PD based insulation condition monitoring. The paper begins with an analysis of two significant challenges for automatic PD pattern recognition. A methodology is then proposed for applying the K-Means method to the task of recognizing PD patterns without phase reference information.
Original language | English |
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Pages (from-to) | 754-761 |
Number of pages | 8 |
Journal | IEEE Transactions on Dielectrics and Electrical Insulation |
Volume | 20 |
Issue number | 3 |
DOIs | |
Publication status | Published - Jun 2013 |
Keywords
- pattern recognition
- PD patterns
- K-Means