English(EN) CTRL-FM: Inference-Time Structural Control for Flow-Based Virtual Sensing under Long-Horizon Node Outages

新的CTRL-FM框架解决了虚拟传感中的长时程节点故障问题

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-23 04:00

研究人员开发了CTRL-FM，一个新颖的虚拟传感框架，解决了长时程节点故障的挑战。与施加固定结构偏差的现有方法不同，CTRL-FM根据具体的故障条件在推理时动态选择和调整结构引导。该方法使用观测到的测量值来构建代理故障，从而能够根据估计的可靠性选择最优控制策略（非控制、图主导、时间主导或平衡）和局部调制。在显著的传感器丢失情况下，CTRL-FM在多个数据集上表现出优越的性能，优于具有固定结构先验的方法。 AI

影响这项研究通过在故障期间实现更准确的数据插补，有望提高关键基础设施中传感器网络的鲁棒性。

排序理由该条目是一篇学术论文，详细介绍了一种用于虚拟传感的新技术框架。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Boshra Khalili, Andrew Smyth · 2026-10-23 04:00

CTRL-FM: Inference-Time Structural Control for Flow-Based Virtual Sensing under Long-Horizon Node Outages

arXiv:2610.30362v1 Announce Type: new Abstract: Long-horizon node outages are harder than conventional missing-value imputation because complete sensor trajectories remain unobserved for extended periods, while the usefulness of spatial and temporal dependencies varies across out…

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CTRL-FM: Inference-Time Structural Control for Flow-Based Virtual Sensing under Long-Horizon Node Outages

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