基于深度学习的机械故障诊断
该资源库主要存储基于深度学习的机械故障诊断代码，包括以下几个阶段：数据预处理、建立深度学习模型训练、验证和可视化。
数据预处理将原始振动信号转换为一维原始信号和不同类型的二维图像信号作为模型输入。
网络模型包括一维和二维深度学习模型
文件下载
资源详情
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style='color:#111;'> 2.51KB </span>","children":null,"spread":false},{"title":"XJTU.cpython-39.pyc <span style='color:#111;'> 3.38KB </span>","children":null,"spread":false},{"title":"SQV.cpython-39.pyc <span style='color:#111;'> 3.76KB </span>","children":null,"spread":false},{"title":"Bearing311.cpython-39.pyc <span style='color:#111;'> 3.37KB </span>","children":null,"spread":false},{"title":"JNU.cpython-39.pyc <span style='color:#111;'> 2.76KB </span>","children":null,"spread":false},{"title":"__user_functions.cpython-39.pyc <span style='color:#111;'> 2.37KB </span>","children":null,"spread":false},{"title":"SEU.cpython-39.pyc <span style='color:#111;'> 3.05KB </span>","children":null,"spread":false}],"spread":false},{"title":"DC.py <span style='color:#111;'> 4.11KB </span>","children":null,"spread":false},{"title":"wind_gearbox.py <span style='color:#111;'> 4.41KB </span>","children":null,"spread":false}],"spread":false},{"title":"utils","children":[{"title":"__init__.py <span 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3.15KB </span>","children":null,"spread":false},{"title":"VGG.cpython-39.pyc <span style='color:#111;'> 2.26KB </span>","children":null,"spread":false},{"title":"DenseNet.cpython-39.pyc <span style='color:#111;'> 3.04KB </span>","children":null,"spread":false},{"title":"__init__.cpython-39.pyc <span style='color:#111;'> 286B </span>","children":null,"spread":false},{"title":"AlexNet.cpython-39.pyc <span style='color:#111;'> 1.88KB </span>","children":null,"spread":false},{"title":"LeNet.cpython-39.pyc <span style='color:#111;'> 1.70KB </span>","children":null,"spread":false},{"title":"CNN_1D.cpython-39.pyc <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false}],"spread":true},{"title":"LeNet.py <span style='color:#111;'> 1.50KB </span>","children":null,"spread":false},{"title":"VGG.py <span style='color:#111;'> 2.99KB </span>","children":null,"spread":false}],"spread":true},{"title":"train.py <span style='color:#111;'> 9.70KB 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本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明