PhysDGM, a diffusion model with physics penalties applied at every reverse denoising step, generates synthetic industrial time-series that improve downstream predictive maintenance and fault-diagnosis performance beyond real-data-only training.
Smart manufacturing must embrace big data.Nature544, 23–25 (2017)
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Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems
PhysDGM, a diffusion model with physics penalties applied at every reverse denoising step, generates synthetic industrial time-series that improve downstream predictive maintenance and fault-diagnosis performance beyond real-data-only training.