Abstract
| Language | English |
|---|---|
| Pages | 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 |
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Keywords
- partial discharge monitoring
- application
- k-means method
- pattern recognition
- on-line cable
Cite this
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Application of k-means method to pattern recognition in on-line cable partial discharge monitoring. / Peng, XS; Zhou, CK; Hepburn, D; Judd, Martin; Siew, Wah Hoon.
In: IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 20, No. 3, 06.2013, p. 754-761.Research output: Contribution to journal › Article
TY - JOUR
T1 - Application of k-means method to pattern recognition in on-line cable partial discharge monitoring
AU - Peng, XS
AU - Zhou, CK
AU - Hepburn, D
AU - Judd, Martin
AU - Siew, Wah Hoon
PY - 2013/6
Y1 - 2013/6
N2 - 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. Results are presented to show that the proposed methodology is capable of recognising patterns of PD activity in on-line monitoring applications for both single-phase and three-phase cables and is also effective technique for rejecting interference signals.
AB - 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. Results are presented to show that the proposed methodology is capable of recognising patterns of PD activity in on-line monitoring applications for both single-phase and three-phase cables and is also effective technique for rejecting interference signals.
KW - partial discharge monitoring
KW - application
KW - k-means method
KW - pattern recognition
KW - on-line cable
UR - http://www.scopus.com/inward/record.url?scp=84878483615&partnerID=8YFLogxK
UR - http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=94
U2 - 10.1109/TDEI.2013.6518945
DO - 10.1109/TDEI.2013.6518945
M3 - Article
VL - 20
SP - 754
EP - 761
JO - IEEE Transactions on Dielectrics and Electrical Insulation
T2 - IEEE Transactions on Dielectrics and Electrical Insulation
JF - IEEE Transactions on Dielectrics and Electrical Insulation
SN - 1070-9878
IS - 3
ER -