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.
|Number of pages||8|
|Journal||IEEE Transactions on Dielectrics and Electrical Insulation|
|Publication status||Published - Jun 2013|
- pattern recognition
- PD patterns
Peng, X., Zhou, C., Hepburn, D., Judd, M., & Siew, W. H. (2013). Application of K-Means method to pattern recognition in on-line cable partial discharge monitoring. IEEE Transactions on Dielectrics and Electrical Insulation, 20(3), 754-761. https://doi.org/10.1109/TDEI.2013.6518945