autoencoders 1gradient-enhanced methods 1open-set fault diagnosis 1ridge regression 1rotating machinery 1severity classification 1spline dimensional decomposition 1surrogate modeling 1time-frequency analysis 1uncertainty quantification 1
From the 2 of 4 linked papers with an AI index.
Showing math.NAShow all
2 papers · 1 filter
math.NA2026
Gradient-enhanced spline dimensional decomposition for uncertainty quantification with limited training samples
Eunho Heo, Dongjin Lee
The paper introduces a gradient-enhanced spline dimensional decomposition (GE‑SDD) surrogate that incorporates both function values and partial derivatives to improve uncertainty q…
math.NA2026
Data-driven dimensionally decomposed generalized polynomial chaos expansion for forward uncertainty quantification
Hojun Choi, Eunho Heo, Dongjin Lee
Dimensionally decomposed generalized polynomial chaos expansion (DD-GPCE) efficiently performs forward uncertainty quantification (UQ) in complex engineering systems with high-dime…