A bi-residual network with intra-layer shortcuts and multi-scale convolutions improves synchronous motor fault diagnosis accuracy on low-resolution noisy data by about 1 to 3 percent over ResNet18.
Dnocnet: A novel end-to-end network for induction motor drive systems fault diagnosis under speed fluctuation condition,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features
A bi-residual network with intra-layer shortcuts and multi-scale convolutions improves synchronous motor fault diagnosis accuracy on low-resolution noisy data by about 1 to 3 percent over ResNet18.