Antenna contactless partial discharges detection in covered conductors using ensemble stacking neural networks
作者：
Highlights：
• Detection of partial discharges using heterogeneous ensemble stacking NN.
• Novel combination of 1D-CNN and autoencoders in ensemble stacking NN.
• Proposed algorithm usable for edge detection using HW NN accelerator.
• Evaluated on dataset previously used for best published algorithm for this dataset.
• Evaluated on new unvalidated dataset and outperforms wide range of classifiers.
摘要
•Detection of partial discharges using heterogeneous ensemble stacking NN.•Novel combination of 1D-CNN and autoencoders in ensemble stacking NN.•Proposed algorithm usable for edge detection using HW NN accelerator.•Evaluated on dataset previously used for best published algorithm for this dataset.•Evaluated on new unvalidated dataset and outperforms wide range of classifiers.
论文关键词：Ensemble neural network,Partial discharge,Time series classification,High impedance fault,Covered conductor
论文评审过程：Received 27 March 2022, Revised 13 September 2022, Accepted 23 September 2022, Available online 1 October 2022, Version of Record 11 October 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118910
