基于一维卷积神经网络的钻杆故障诊断
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金列俊,詹建明,陈俊华,王涛
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Drill pipe fault diagnosis method based on one-dimensional convolutional neural network
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Lie-jun JIN,Jian-ming ZHAN,Jun-hua CHEN,Tao WANG
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表 2 钻杆故障数据集样本数量分布 |
Tab.2 Distribution of sample numbers in drill pipe fault data set |
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故障类型 | 故障程度 | 标签 | 数据集A | | 数据集B | | 数据集C | 训练集 | 验证集 | 测试集 | | 训练集 | 验证集 | 测试集 | | 训练集 | 验证集 | 测试集 | 正常 | 无 | L1 | 420 | 140 | 140 | | 420 | 140 | 140 | | 420 | 140 | 140 | 松动螺母 | 2颗 | L2 | 420 | 140 | 140 | | 420 | 140 | 140 | | 420 | 140 | 140 | 4颗 | L3 | 420 | 140 | 140 | | 420 | 140 | 140 | | 420 | 140 | 140 | 6颗 | L4 | 420 | 140 | 140 | | 420 | 140 | 140 | | 420 | 140 | 140 | 断裂切口长度 | 56 mm | L5 | 420 | 140 | 140 | | 420 | 140 | 140 | | 420 | 140 | 140 | 112 mm | L6 | 420 | 140 | 140 | | 420 | 140 | 140 | | 420 | 140 | 140 | 168 mm | L7 | 420 | 140 | 140 | | 420 | 140 | 140 | | 420 | 140 | 140 | 合计 | 2 940 | 980 | 980 | | 2 940 | 980 | 980 | | 2 940 | 980 | 980 |
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