该项目实现了一个基于迁移学习的轴承故障诊断系统，目的是通过源域数据训练模型，并通过迁移学习方法对目标域进行故障分类。我们使用了多种深度学习技术，包括多模态残差网络（Multimodal ResNet）和基于特征的对抗网络（DANN），以提升目标域数据的分类效果。
☆21Sep 25, 2025Updated last year
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