Keras_bearing_fault_diagnosis

上传者: 42097533 | 上传时间: 2021-05-27 09:27:33 | 文件大小: 133.79MB | 文件类型: ZIP
Keras_bearing_fault_diagnosis 基于CNN的轴承故障识别 1.简介 本科毕设,基于凯斯西储大学公开轴承数据集建立的CNN轴承故障识别模型。 记录相关过程的博客: 数据集: 2.环境 Windows+anaconda 3.框架 Keras 4.依赖 tensorflow;keras;numpy;scipy;os;sklearn;matplotlib 5.说明 cnn_1D.py 构建基础的CNN模型 lstm_diagnosis.py 构建基础的LSTM模型 cnn_diagnosis 论文代码 cnn_valid.py 测试不同全连接层数、卷积层数选择最优模型 preprocess.py 数据预处理(预处理代码来自 ) images文件夹 保存模型流程图; data文件夹 保存数据集; logs文件夹 保存日志

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