superconducting electronics
速度感知自适应双分支卷积神经网络
Speed-aware adaptive dual-branch CNNA deep learning architecture utilizing two parallel convolutional neural network branches to diagnose faults in superconducting motors. The system adapts its diagnostic strategy based on the motor's speed to improve accuracy. / 一种利用两个并行卷积神经网络分支诊断超导电机故障的深度学习架构。该系统根据电机速度自适应调整诊断策略以提高准确性。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-06 23:05:45
Sub-knowledge points
No connected node yet
Higher-order knowledge points
No connected node yet
Main parameters and performance indicators
No item recorded yet
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsSpeed-aware adaptive dual-branch CNN-Based fault diagnosis for superconducting motorsOpen source
Related products and links
No item recorded yet
Creation and modification trail
1 recordsRecord title: Speed-aware adaptive dual-branch CNN.
Node update feedback
review required