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轴承故障诊断
基于深度学习的机械设备故障诊断方法研究
轴承有3种故障:外圈故障,内圈故障,滚珠故障,外加正常的工作状态。如表1所示,结合轴承的3种直径(直径1,直径2,直径3),轴承的工作状态有10类
[深度应用]·DC竞赛轴承故障检测开源Baseline(基于Keras1D卷积 val_acc:0.99780)
利用西储大学开源的轴承故障数据,开发简单的人工神经网络,以实现对轴承故障的检测及识别。
毕设研究课题:根据轴承的振动序列数据来诊断轴承故障。
基于深度学习的故障诊断入门示例,包括数据预处理、模型搭建、模型训练
基于注意力机制的少量样本故障诊断 pytorch
基于深度学习的滚动轴承故障诊断方法
一种轻量化故障诊断框架——LiConvFormer
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
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