59 citations · 63 across the 2 of their papers we have counts for
2 papers
eess.SP2023★ 59 cited
Non-parametric Ensemble Empirical Mode Decomposition for extracting weak features to identify bearing defects
Anil Kumar, Yaakoub Berrouche, Radosław Zimroz +5
A non-parametric complementary ensemble empirical mode decomposition (NPCEEMD) is proposed for identifying bearing defects using weak features. NPCEEMD is non-parametric because, u…
physics.flu-dyn2021★ 4 cited
A transfer learning enhanced the physics-informed neural network model for vortex-induced vibration
Hesheng Tang, Hu Yang, Yangyang Liao +1
Vortex-induced vibration (VIV) is a typical nonlinear fluid-structure interaction phenomenon, which widely exists in practical engineering (the flexible riser, the bridge and the a…