English(EN) CORD: Learning Reusable Degradation Representations Across Heterogeneous Physical Systems

新框架CORD实现跨物理系统的可复用退化表征

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 04:00

研究人员开发了CORD，一个用于学习跨不同物理系统可复用退化表征的新框架。CORD利用两个自监督目标：内部观测结构建模（ISM）来捕捉内部观测结构，以及跨观测动态建模（IDM）来跟踪退化随时间的演变。这种方法在轴承、电池和刀具的预测性维护中表现出改进的性能，即使转移到预训练期间未见过的全新系统类型上也是如此。 AI

影响为物理系统提供更鲁棒和可迁移的预测性维护能力，可能降低维护成本并提高可靠性。

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在 arXiv cs.LG 阅读 →

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arXiv cs.LG TIER_1 English(EN) · Haibo Li, Zhiguo Zeng · 2026-10-02 04:00

CORD：跨异构物理系统学习可复用退化表征

arXiv:2609.39784v1 Announce Type: new Abstract: Can heterogeneous physical degradation systems benefit from joint pretraining and move beyond system-specific prognostics toward reusable cross-system representation learning? CORD combines type-specific observation interfaces with …

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CORD：跨异构物理系统学习可复用退化表征

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