Intelligent fault prediction and diagnosis for wind-powered heating systems using graph neural networks. [PDF]
Wang Y, Zhao J, Tang D, Zhao W, Huang S.
europepmc +1 more source
Fault Analysis of Grid Connected Induction Generator Driven By Wind Power Generation
openaire +1 more source
Band Alignment in In‐Oxo Metal Porphyrin SURMOF Heterojunctions
Porphyrin core metalation in indium‑oxo SURMOFs enables systematic tuning of band edge positions without altering the crystal structure. First‑principles calculations reveal type‑I and type‑II heterostructures as well as multi‑junction energy cascades, establishing a modular strategy for exciton funneling and charge separation in optoelectronic ...
Puja Singhvi, Nina Vankova, Thomas Heine
wiley +1 more source
An intelligent protection scheme for DC networks using a machine learning-based multi-agent platform. [PDF]
Esmaeilbeigi S +2 more
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This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker +5 more
wiley +1 more source
Dual graph attention network for robust fault diagnosis in photovoltaic inverters. [PDF]
Bhadra AB +5 more
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Fermi Surface Nesting and Anomalous Hall Effect in Magnetically Frustrated Mn2PdIn
Mn2PdIn, a frustrated inverse Heusler alloy, showing electronic‐structure driven anomalous Hall effect with Weyl crossings, Fermi‐surface nesting and near‐zero magnetization ideal for low‐magnetization spintronics. Abstract Noncollinear magnets with near‐zero net magnetization and nontrivial bulk electronic topology hold significant promise for ...
Afsar Ahmed +7 more
wiley +1 more source
ANN-based fault classification and localization with optimized PMU deployment for transmission systems. [PDF]
Malini T, Thirumoorthi P, Lakshmi K.
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A scalable one‐step copolymerization strategy is developed to produce low‐cost microporous ion exchange membranes that boost both the efficiency and lifespan of flow batteries. When combined with organic electrolytes in aqueous systems, these membranes enable safe and cheap flow battery energy storage, supporting the widespread integration of renewable
Jiaye Liu +7 more
wiley +1 more source
Graph neural networks and belief rule base collaborative modeling for automated and interpretable fault diagnosis in proton exchange membrane fuel cells. [PDF]
Zhao Y, Wang T, Wang X.
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