Results 201 to 210 of about 259,638 (331)

Enabling Digital Continuity in Virtual Manufacturing for Eco‐Efficiency Assessment of Lightweight Structures by Means of a Domain‐Specific Structural Mechanics Language: Requirements, Idea and Proof of Concept

Advanced Engineering Materials, EarlyView.
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel, Andreas Schuster, Felix Schoenitz, Jean Lefèvre   +3 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

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

Partial discharge localization in power transformer tanks using machine learning methods. [PDF]

Sci Rep
Khodaveisi F, Karami H, Karimpour MZ, Rubinstein M, Rachidi F.   +4 more
europepmc   +1 more source

Peeking into the secret of particle and wave through the reactive power of a transformer

, 2021
Shuang-Ren Zhao
openalex   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

A Novel Fault Diagnosis Method for a Power Transformer Based on Multi-Scale Approximate Entropy and Optimized Convolutional Networks. [PDF]

Entropy (Basel)
Shang H, Liu Z, Wei Y, Zhang S.
europepmc   +1 more source

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions

Advanced Engineering Materials, EarlyView.
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel, Lea Dierker, Antoine Eyram Kwame, Kim Nora Wagner, Jonas J. Unterholzner, Jan‐Henning Dirks, Dorothea Brüggemann   +6 more
wiley   +1 more source

Machine learning based multi-method interpretation to enhance dissolved gas analysis for power transformer fault diagnosis. [PDF]

Heliyon
Suwarno, Sutikno H, Prasojo RA, Abu-Siada A.   +3 more
europepmc   +1 more source