Results 181 to 190 of about 108,225 (350)
Intelligent fault diagnosis of power transmission line using fuzzy logic and artificial neural network [PDF]
Khaled Omer Mokhtar Touati +3 more
openalex +1 more source
Kinetic Regimes of Hydrogen Absorption in Thin Films
Knowledge of the hydrogen incorporation mechanisms in thin layers in relation to the amount absorbed is essential to design coatings and devices compatible with hydrogen‐based technologies. A combination of simultaneous in situ methods gives detailed insight into the hydrogenation of a prototypical hydrogen absorber layer in a time‐dependent manner ...
Laura Guasco +7 more
wiley +1 more source
Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms [PDF]
Muhammad Amir Khan +5 more
openalex +1 more source
Developing recyclable materials for magnetic robotics that combine rapid response and self‐healing properties is challenging. Hence, this study focuses on the integration of magnetothermal nanoparticles into a dynamic sorbitol‐based vitrimer, a recyclable composite capable of remote actuation and self‐healing by magnetic heating.
Maria Weißpflog +3 more
wiley +1 more source
Transmission line fault detection and classification using bi-orthogonal wavelet transform (5.5) based signal decomposition. [PDF]
Chothani N +7 more
europepmc +1 more source
InSb, a narrow‐bandgap semiconductor with high carrier mobility, is promising for thermoelectric energy conversion but suffers from high lattice thermal conductivity and strong bipolar conduction. Here, in situ interface engineering using Co2O3 nanoprecursors forms hierarchical CoSbx/In2O3/CoSb3 heterostructures that enhance phonon scattering and ...
Jiwu Xin +10 more
wiley +1 more source
Moving standard deviation assisted two-terminal traveling wave based fault location estimation technique for transmission system incorporated with UPFC. [PDF]
Mishra S +5 more
europepmc +1 more source
Fault classification system for computer networks using fuzzy probabilistic neural network classifier (FPNNC) [PDF]
Adda, Mo, Qader, Karwan
core +2 more sources

