基于CNN-GRU的轴承剩余使用寿命预测完整代码【数据+数据处理+模型+训练函数+预测结果输出函数】

上传者: Endless_will | 上传时间: 2025-05-10 20:35:31 | 文件大小: 411.94MB | 文件类型: ZIP
简述 模型的应用数据集为PHM2012轴承数据集,使用原始振动信号作为模型的输入,输出为0~1的轴承剩余使用寿命。每一个预测模型包括:数据预处理、预测模型、训练函数、主程序以及结果输出等五个.py文件。只需更改数据读取路径即可运行。【PS: 也可以改为XJTU-SY轴承退化数据集】 具体使用流程 1.将所有的程序放在同一个文件夹下,修改训练轴承,运行main.py文件,即可完成模型的训练。 2.训练完成后,运行result_out.py文件,即可输出预测模型对测试轴承的预测结果。

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