2018年
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编辑 删除
深度残差学习笔记：Deep Residual Networks with Dynamically Weighted Wavelet
深度残差学习笔记：Deep Residual Networks with Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes这篇文章将深度学习算法应用于机械故障诊断，采用了“小波包分解+深度残差网络(ResNet)”的思路，将机械振动信号按照故障类型进行分类。文章的核心创新点：复杂
