Results 171 to 180 of about 246,265 (278)

Selective Green Colorimetric Liquid- and Solid-Based Determination of Furfural in Power Transformer Insulating Fluid. [PDF]

ACS Omega
Kim E, Jun T, Kim AR, Kwak BS, Park H.
europepmc   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

Predicting the insulating paper state of the power transformer based on XGBoost/LightGBM models. [PDF]

Sci Rep
Ghoneim SSM, Baz M, Alzaed A, Zewdie YT.
europepmc   +1 more source

Static and Dynamic Evaluation of a Winding Deformation FBG Sensor for Power Transformer Applications. [PDF]

Sensors (Basel), 2019
de Melo AG, Benetti D, de Lacerda LA, Peres R, Floridia C, Silva AA, Rosolem JB.   +6 more
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Power transformer fault diagnosis method based on multi source signal fusion and fast spectral correlation. [PDF]

Sci Rep
Guan S, Shi M, Wang F, Li J.
europepmc   +1 more source

Fabrication of Thermal Conductivity Detector Based on MEMS for Monitoring Dissolved Gases in Power Transformer. [PDF]

Sensors (Basel), 2019
Tan T, Sun J, Chen T, Zhang X, Zhu X.
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Predecting power transformer health index and life expectation based on digital twins and multitask LSTM-GRU model. [PDF]

Sci Rep
El-Rashidy N, Sultan YA, Ali ZH.
europepmc   +1 more source

Machine Learning-Based Sensor Data Modeling Methods for Power Transformer PHM. [PDF]

Sensors (Basel), 2018
Li A, Yang X, Dong H, Xie Z, Yang C.
europepmc   +1 more source