基于深度网络的可控混合式磁力耦合器退磁诊断
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王爽,章熙泰,郭永存,孙守锁
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Demagnetization fault diagnosis of controllable hybrid magnetic couplers based on deep neural networks
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Shuang WANG,Xitai ZHANG,Yongcun GUO,Shousuo SUN
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| 表 6 退磁故障诊断模型的模块消融实验结果 |
| Tab.6 Module ablation experiment results of demagnetization fault diagnosis model % |
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| 模型 | Acc | P | R | F1 | | MTF+SNN | 86.33 | 83.69 | 85.14 | 84.37 | | CWT+SNN | 82.06 | 81.64 | 85.52 | 81.54 | | GASF+EfficientNet | 82.63 | 81.77 | 81.84 | 81.79 | | GASF+RepVGG | 82.94 | 83.76 | 84.25 | 83.99 | | GASF+ViT | 87.01 | 85.89 | 86.64 | 86.23 | | GASF+AlexNet | 88.30 | 88.50 | 87.89 | 88.11 | | GASF+ResNet | 92.63 | 90. 55 | 88.94 | 89.72 | | GASF+ResNet_layer1 | 91.28 | 90.27 | 89.52 | 89.89 | | GASF+ResNet_layer4 | 93.71 | 93.09 | 91.33 | 92.20 | | GANN | 97.67 | 97.28 | 95.71 | 96.59 |
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