Results 201 to 210 of about 248,694 (310)

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

Measurement System for Current Transformer Calibration from 50 Hz to 150 kHz Using a Wideband Power Analyzer [PDF]

Mano Rom, Helko E. van den Brom, Ernest Houtzager, Ronald van Leeuwen, Dennis van der Born, Gert Rietveld, Fabio Muñoz-Muñoz   +6 more
openalex   +1 more source

Development and Preliminary In Vivo Study of 3D‐Printed Bioactive Glass Scaffolds with Trabecular Architecture

Advanced Engineering Materials, EarlyView.
This study reports the fabrication of trabecular bioactive glass scaffolds (composition “1d”: 46.1SiO2‐28.7CaO‐8.8MgO‐6.2P2O5‐5.7CaF2‐4.5Na2O wt%) through vat photopolymerization and the relevant results from mechanical testing and in vivo implantation procedures in rabbit femora, showing great promise for bone tissue engineering applications.
Dilshat Tulyaganov, Roberta Gabrieli, Avzal Akbarov, Nigora Nigmatova, Bekhzod Khabilov, Alessandro Schiavi, Martin Schwentenwein, Enrica Verné, Francesco Baino   +8 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

Liquid Crystal Elastomers Under Confinement: A Review of Template‐Based Fabrication and Applications

Advanced Engineering Materials, EarlyView.
Template‐assisted confinement offers powerful ways to control the alignment, structure, and function of liquid crystal elastomers. This review highlights several templating strategies and details how geometry and interfaces shape material responses.
Meng Zhang, Le Yang, Xinyi Ding, James Phillip Scarbrough, Tushar Narayan Singh, Yuxing Yao, Shucong Li, Xiaoguang Wang   +7 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

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

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

Cloud‐Edge Collaborative Framework‐Based Fault Diagnosis Method for Power Metering Smart Laboratory Equipment Using Improved Transformer

Ying Zhang, Wenjing Wang, Zilin Chen, Yu-Xin Lin   +3 more
openalex   +1 more source

Additive Manufacturing of Hot Work Tool Steel by Laser Powder Bed Fusion Utilizing Powder Mixtures Including Grinding Chips: Assessing Chemical Homogeneity and Achievable Hardness

Advanced Engineering Materials, EarlyView.
Grinding chips of high‐alloyed steel are prepared to be admixed to a starting powder mixture for laser powder bed fusion. A three‐stage preparation is performed, including washing in acetone, magnetic separation, and ball milling. The addition of 30% of grinding chips to the powder mixture allows the fabrication of dense samples.
Felix Großwendt, Chengsong Cui, Jonathan Lentz, Rainer Fechte‐Heinen, Sebastian Weber   +4 more
wiley   +1 more source