Aug 17, 2020 · It is proved that CFFO-CNN has superior feature extraction ability, which can extract the internal features of the VMD-CWD spectrum ...

Firstly, the VMD-CWD spectra of PD signals are obtained by time-frequency analysis. Secondly, cross-layer feature fusion and optimization CNN (CFFO-. CNN) is ...

It is proved that CFFO-CNN has superior feature extraction ability, which can extract the internal features of the VMD-CWD spectrum independently with ...

It is proved that CFFO-CNN has superior feature extraction ability, which can extract the internal features of the VMD-CWD spectrum independently with higher ...

The algorithm based on VMD-CWD spectrum and hybrid convolutional neural network has superior feature extraction ability and higher pattern recognition accuracy, ...

Gao, A., Zhu, Y., Cai, W., Zhang, Y.: Pattern recognition of partial discharge based on VMD-CWD spectrum and optimized CNN with cross-layer feature fusion.

This paper proposes deep learning (DL) methods to improve the discrimination of PD from background noise in comparison with the state-of-the-art amplitude ...

This paper proposes a PD pattern recognition method based on an improved feature fusion convolutional neural network (IFCNN) to fully use the time-frequency ...

May 24, 2023 · Pattern recognition of partial discharge based on VMD-CWD spectrum and optimized CNN With cross-layer feature fusion. IEEE Access 2020, 8 ...

Mar 1, 2023 · This work investigates the use of neural network algorithms for this problem and the application of heterogeneous stacking ensembles using neural networks.