基于特征金字塔卷积循环神经网络的故障诊断方法
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刘秀丽, 徐小力
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A Fault Diagnosis Method Based on Feature Pyramid CRNN Network
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LIU Xiuli, XU Xiaoli
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表4 网络5折交叉验证准确率
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Tab.4 50% cross validation accuracy of network
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组号 | 数据 | ε/% | K=1 | K=2 | K=3 | K=4 | K=5 | 1 | 训练 | 99.78 | 99.69 | 99.44 | 98.71 | 99.37 | | 测试 | 98.53 | 99.01 | 97.79 | 99.57 | 98.62 | 2 | 训练 | 100 | 99.47 | 99.79 | 99.19 | 99.01 | | 测试 | 98.93 | 98.97 | 98.88 | 99.65 | 98.98 | 3 | 训练 | 99.43 | 99.72 | 98.83 | 99.55 | 99.57 | | 测试 | 99.59 | 97.45 | 100 | 99.30 | 99.21 |
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