生命是好的:通过标签内交换来学习不变特征,以便在机器故障诊断中将分布之外的特征泛化

概括

这项研究介绍了Lifeisgood,这是一种用于机器故障诊断的新框架,它学习不变特征以改善跨不同数据分布的概括性. 它通过专注于特征不变性以及数据信息性来提高模型性能.

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