Results 21 to 30 of about 382,293 (264)

Machine Learning for Semi Linear PDEs [PDF]

open access: yesJournal of Scientific Computing, 2019
Recent machine learning algorithms dedicated to solving semi-linear PDEs are improved by using different neural network architectures and different parameterizations. These algorithms are compared to a new one that solves a fixed point problem by using deep learning techniques.
Quentin Chan-Wai-Nam   +2 more
openaire   +2 more sources

A Novel Doubly-Fed Flux Reversal Linear Machine With Armature Windings Wound on Both Stator and Mover Teeth

open access: yesIEEE Access, 2020
A novel doubly-fed flux reversal linear machine (DF-FRLM) is proposed in this paper, which has two sets of armature windings wound on stator and mover teeth, respectively.
Manying Chen   +3 more
doaj   +1 more source

Study on Predictive Maintenance of V-Belt in Milling Machines Using Machine Learning

open access: yesJournal of Mechanical Engineering Science and Technology, 2022
Towards industry 4.0, monitoring the degradation of machine tools’ components becomes a key feature so that smooth productivity is achieved. To preserve the functionality and performance of the machine tools, proper maintenance activities must be planned
Reza Aulia Rahman   +2 more
doaj   +1 more source

Thrust Force Ripple Reduction of Two C-Core Linear Flux-Switching Permanent Magnet Machines of High Thrust Force Capability

open access: yesEnergies, 2017
Linear flux-switching permanent magnetic (LFSPM) machines are good choices for long stroke applications. These machines deliver high thrust force density in addition to the machine structure where permanent magnetics (PMs) and windings are all on the ...
Wenjuan Hao, Yu Wang
doaj   +1 more source

Prediction performance of linear models and gradient boosting machine on complex phenotypes in outbred mice

open access: yesG3: Genes, Genomes, Genetics, 2022
We compared the performance of linear (GBLUP, BayesB, and elastic net) methods to a nonparametric tree-based ensemble (gradient boosting machine) method for genomic prediction of complex traits in mice. The dataset used contained genotypes for 50,112 SNP
Bruno C Perez   +4 more
doaj   +1 more source

A HTS-Excitation Modular Flux-Switching Linear Machine With Static Seals

open access: yesIEEE Access, 2019
This paper proposes and analyzes a novel high-temperature superconducting (HTS) modular flux-switching linear machine for long-stator applications, which adopts the stator with a low-cost salient-pole iron core and accommodates both the armature windings
Wenzhong Ma   +3 more
doaj   +1 more source

Development of a consequent pole transverse flux permanent magnet linear machine with passive secondary structure

open access: yesCES Transactions on Electrical Machines and Systems, 2019
Transverse-flux machines have the advantage of high force density owing to the peculiarity of decoupling of electric loading and magnetic loading. In this paper, a novel consequent-pole transverse-flux permanent magnet linear machine (CP-TFPMLM) is ...
Jun Luo   +3 more
doaj   +1 more source

Comparison of the Stator Step Skewed Structures for Cogging Force Reduction of Linear Flux Switching Permanent Magnet Machines

open access: yesEnergies, 2018
Linear flux switching permanent magnetic (LFSPM) machines, with the armature windings and magnets both on the mover in addition to a robust stator, are a good choice for long stoke applications, however, a large cogging force is also inevitable due to ...
Wenjuan Hao, Yu Wang
doaj   +1 more source

Performance Analysis of Nested-loop Secondary Linear Doubly-fed Machine Considering End Effects

open access: yesCES Transactions on Electrical Machines and Systems, 2022
Nested-loop secondary linear doubly-fed machine (NLS-LDFM) is a novel linear machine evolved from rotary brushless doubly-fed induction machine, which has a good application prospect in linear metro.
Yaping Zhang   +6 more
doaj   +1 more source

Global Feedback Control for Coordinated Linear Switched Reluctance Machines Network with Full-State Observation and Internal Model Compensation

open access: yesEnergies, 2017
This paper discusses the tracking coordination of a linear switched reluctance machine (LSRM) network based on a global feedback control strategy with a full-state observation framework.
Bo Zhang   +5 more
doaj   +1 more source

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