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Identification of Partial Discharge Through Cable-Specific Adaption and Neural Network Ensemble.
- Source :
- IEEE Transactions on Power Delivery; Jun2022, Vol. 37 Issue 3, p1598-1607, 10p
- Publication Year :
- 2022
-
Abstract
- This paper proposes to administer a multi-step artificial intelligence approach with an ensemble of adaptive neural networks (NNs) trained on 50000 samples to identify partial discharge (PD) diagnostic measurements for in-service medium voltage (MV) power cables. To evaluate the performance of the algorithm, a case study was performed on cables deliberately selected to contain both uncomplicated measurements and disruptive irregularities representative of conditions during field testing. Experimental test results prove that the proposed cable-specific adaptation improves PD identification accuracy, with further increment through the NN ensembles. The main contribution of the approach is in both the cable-specific adaption and the NN ensemble being applied to MV cable field measurements. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08858977
- Volume :
- 37
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Power Delivery
- Publication Type :
- Academic Journal
- Accession number :
- 157073150
- Full Text :
- https://doi.org/10.1109/TPWRD.2021.3093670