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Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems. (arXiv:2106.11929v4 [cs.LG] UPDATED)
Web: http://arxiv.org/abs/2106.11929
May 6, 2022, 1:12 a.m. | Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
cs.LG updates on arXiv.org arxiv.org
Temperature monitoring during the life time of heat source components in
engineering systems becomes essential to guarantee the normal work and the
working life of these components. However, prior methods, which mainly use the
interpolate estimation to reconstruct the temperature field from limited
monitoring points, require large amounts of temperature tensors for an accurate
estimation. This may decrease the availability and reliability of the system
and sharply increase the monitoring cost. To solve this problem, this work
develops a novel …
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