Results 161 to 170 of about 3,833,099 (322)
Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis. [PDF]
Barrera-Llanga K +3 more
europepmc +1 more source
The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker +4 more
wiley +1 more source
A Modified EMD Technique for Broken Rotor Bar Fault Detection in Induction Machines. [PDF]
Arifin MS, Wang W, Uddin MN.
europepmc +1 more source
Induction Machines Fault Detection Based on Subspace Spectral Estimation
Youness Trachi +3 more
semanticscholar +1 more source
An Inkjet‐Printed Platinum‐Based Temperature Sensing Element on Polyimide Substrates
An inkjet‐printed, meander‐structured, nanoparticle platinum‐based resistive temperature sensors on polyimide substrates are demonstrated as proof‐of‐concept. Optimized sintering at 250°C enables stable conductive structures. The Pt100‐ and Pt1000‐type sensors exhibit linear resistance–temperature characteristics with stable TCR in the 20°C–80°C range,
Shawon Alam +6 more
wiley +1 more source
Conversion of standard induction machines to permanent magnet synchronous machines with higher efficiency [PDF]
Hofman, Isabelle +2 more
core +1 more source
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 +3 more
wiley +1 more source
Harmonic Order Tracking Analysis: A Novel Method for Fault Diagnosis in Induction Machines
A. Sapena-Bano +6 more
semanticscholar +1 more source
What Do Large Language Models Know About Materials?
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 +2 more
wiley +1 more source

