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Arjun Gopichander Ravichander

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Open access Sep 2026

Physics-Constrained Synthetic Data Generation For Industrial Machine Learning: Enforcing Conservation And Operating-Envelope Constraints, Validating Fidelity Against Sensor Records, And Measures

A method for generating industrial sensor data under explicit physical constraints is proposed, and how it should be evaluated is specified, including a fidelity validation design going beyond marginal-distribution testing to cover cross-sensor coupling, spectral content, direct measurement of constraint violation rate...

Arjun Gopichander Ravichander · 0 citations

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