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.
Motor fault diagnostics based on current signatures: A review,
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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.