A Multi-Gradient-Descent-Integrated Physics-Informed Autoencoder for Sensor Fault Detection in Data Center Chillers.

Sensors (Basel) · 2026 · PMC13210669 · PMID 42197834

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not as significantno p-value reported

This reflects that the performance difference between the two models with physical constraints is not as significant as that on flow sensors in temperature parameter fault detection, but the overall performance of MGDA-PIAE is smoother.

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