Modular diffractive deep neural network metasurfaces encode and reconstruct holograms across layer combinations and wavelengths, enabling secure, multifunctional operation. Each layer acts independently yet composes jointly, yielding up to m(2N −1) channels for m wavelengths and N layers.
Cherry Park +4 more
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Fault Diagnosis and Location Method for Stator-Winding Single-Phase Grounding of Large Generator Based on Stepped-Frequency Pulse Injection. [PDF]
Lei B +7 more
europepmc +1 more source
A simulation-based dataset for anomaly detection in hydrogen blend transport networks. [PDF]
Senese A +7 more
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A novel approach for high impedance fault detection in resonant grounding systems based on statistical characteristics. [PDF]
Meng Q, Gao Y, Hussain S, He Y, Li B.
europepmc +1 more source
Wind turbine bearing fault classification identification based on optimized variational mode decomposition and convolutional neural network-bidirectional gated recurrent unit-Attention. [PDF]
Tang M +6 more
europepmc +1 more source
An intelligent protection scheme for DC networks using a machine learning-based multi-agent platform. [PDF]
Esmaeilbeigi S +2 more
europepmc +1 more source
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Power generator mechanical faults effects on electric power quality
2014 Electric Power Quality and Supply Reliability Conference (PQ), 2014The principal objective of the paper is to establish the framework for power quality and vibration measurements assessment of hydropower generator. To meet the objective the set of measurements were performed on hydropower generating unit, using typical instrumentation like voltage analyzer for three-phase electrical networks, laser tachometer kit ...
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Flexible Active Power Control of Distributed Power Generation Systems During Grid Faults
IEEE Transactions on Industrial Electronics, 2007Udgivelsesdato ...
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