Results 81 to 90 of about 8,887,436 (231)

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Fault Line Selection Method of Small Current Grounding System Based on Deep Learning

发电技术, 2019
At present, the single-phase grounding fault line selection problem of small current grounding system has not been completely solved. In order to improve the success rate of single-phase grounding fault line selection, a new method based on deep learning
Guodong ZHANG, Haitao PU, Kai LIU
doaj   +1 more source

Single-Phase-to-Ground Fault Location Method Based on SOGI

IOP Conference Series: Materials Science and Engineering, 2018
Most fault location methods depend on the exact extraction of fault transient feature. However, due to the weak grounding current, arc grounding and intermittent problems, it is difficult to extract the fault transient feature. Based on second-order generalized integrator (SOGI), a single-phase-to-ground fault section location method for neutral point ...
openaire   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

A new type of single-phase grounding fault line selection and location method for mine distribution network

Gong-kuang zidonghua, 2016
Characteristics of mine distribution network and difficulties of singlephase grounding fault line selection and location were analyzed. A new type of singlephase grounding fault line selection and location method for mine distribution network was ...
ZONG Weilin, XU Wenqiang, YUAN Yalei, DAI Jingwei, PI Jie, SONG Tianbao   +5 more
doaj   +1 more source

Fault-Section Location System and Strategy for Single-Phase Ground Faults in Flexible-Grounded Distribution Networks

Electronics
Leveraging fault indicators to measure phase currents, phase-to-ground voltages, and corresponding waveforms, this paper proposes a fault section location method combined with waveform similarity analysis. A flexible neutral grounding system is developed to address the difficulty of fault detection caused by excessively small zero-sequence currents. By
Yafeng Huang, Jiaqing Sun, Junhang Ye
openaire   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

A Method Based on CNN–BiLSTM–Attention for Wind Farm Line Fault Distance Prediction

Energies
In view of the complex operating environments of wind farms and the characteristics of multi-branch mixed collector lines, in order to improve the accuracy of single-phase grounding fault location, the convolutional neural network (CNN), bidirectional ...
Ming Zhang, Qingzhong Gao, Baoliang Liu, Chen Zhang, Guangkai Zhou   +4 more
doaj   +1 more source

Application of Phase Space Warping on Damage Tracking for Bearing Fault [PDF]

, 2012
Nowadays, the significance of keeping equipment function properly each time is obvious. If equipment fails during its use, it may have disastrous consequences.
Gu, Fengshou, Hu, Niaoqing, Hu, Lei, Fan, Bin   +3 more
core   +1 more source