Results 41 to 50 of about 8,974 (264)

High-Resolution Rotor Fault Diagnosis of Wound Rotor Induction Machine Based on Stator Current Signature Analyses [PDF]

AUT Journal of Electrical Engineering
Wound rotor induction machine (WRIM) has been extensively used in different applications such as medium-power wind turbines and traction systems. Since these machines work under harsh and difficult conditions, condition monitoring of such systems is ...
Reza Ghadirinezhd, Mohammad Hoseintabar-Marzebali   +1 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

A Deep Learning-based Fault Detection and Classification in Smart Electrical Power Transmission System

JOIV: International Journal on Informatics Visualization
Progressively, the energy demands and responsibilities to control the demands have expanded dramatically. Subsequently, various solutions have been introduced, including producing high-capacity electrical generating power plants, and applying the grid ...
Shihab Hamad Khaleefah, Salama A. Mostafa, Saraswathy Shamini Gunasekaran, Umar Farooq Khattak, Siti Salwani Yaacob, Alde Alanda   +5 more
doaj   +1 more source

Phase Analysis of Series Arc Signals for Low-Voltage Electrical Devices

Energies, 2020
An arc fault is an electrical breakdown of the insulating medium in an electrical system. When arc faults occur, they cause electrical fires with local sparks and temperatures of over 5000 °C.
Hong-Keun Ji, Sung-Wook Kim, Gyung-Suk Kil   +2 more
doaj   +1 more source

Insulation fault detection and localisation in electric and hybrid electric vehicles [PDF]

2016 51st International Universities Power Engineering Conference (UPEC), 2016
This paper discusses a method for detection and localisation of the insulation faults in electrical equipment distributed along the body of electric and hybrid electric vehicles. At the beginning of the fault detection procedure it is required that the vehicle powertrain be shut-down.
Vagapov, Yuriy, Anuchin, Alecksey, Belyakov, George, Fedorova, Ksenya   +3 more
openaire   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Derived Power Streams for Fault Detection and Condition-Based Maintenance

IEEE Access
Nonintrusive electrical monitoring enables fault detection and diagnostics for power systems from an aggregate monitoring point. Faulty electromechanical equipment often produces unrecognizable electrical signatures that confound data-driven techniques ...
Aaron W. Langham, Thomas C. Krause, Steven B. Leeb   +2 more
doaj   +1 more source

Application of artificial neural networks for the detection and localization of faults in electrical distribution systems: A case study in the canton of La Joya de los Sachas [PDF]

E3S Web of Conferences
Electrical distribution systems play an important role in delivering power to consumers, and their reliability is of utmost importance. This paper presents a comprehensive study on the application of artificial neural networks (ANNs) for fault detection ...
Cuenca Milton, Moreano Karina, Lamilla-Rubio Erick A., Cuenca Carlos A.   +3 more
doaj   +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