Results 21 to 30 of about 447,541 (315)
Energies, 2017 C-core linear flux-switching permanent magnet (PM) machines (LFSPMs) are attracting more and more attention due to their advantages of simplicity and robustness of the secondary side, high power density and high torque density, in which both PMs and ...
Yi Du +5 more
doaj +1 more source
GDP Forecasting: Machine Learning, Linear or Autoregression?
Frontiers in Artificial Intelligence, 2021 This paper compares the predictive power of different models to forecast the real U.S. GDP. Using quarterly data from 1976 to 2020, we find that the machine learning K-Nearest Neighbour (KNN) model captures the self-predictive ability of the U.S. GDP and
Giovanni Maccarrone +3 more
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Impact of Permanent Magnet Field on Inductance Variation of a PMLSM [PDF]
, 2007 Analytical models of Surface Mounted Permanent Magnet Linear Synchronous Motors are generally presented with constant inductances. However, the impact of powerful rare-earth PMs in the saturation phenomena cannot be neglected anymore.
REMY, Ghislain +9 more
core +1 more source
Magnetic Flux Distribution of Linear Machines with Novel Three-Dimensional Hybrid Magnet Arrays
Sensors, 2017 The objective of this paper is to propose a novel tubular linear machine with hybrid permanent magnet arrays and multiple movers, which could be employed for either actuation or sensing technology.
Nan Yao +3 more
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Informatics in Medicine Unlocked, 2021 Generally, health care costs from chronic diseases have positive skew and this gives problems on using traditional statistical models. Machine learning is a conventional method producing accurate prediction with large sample size.
Wichayaporn Thongpeth, M.N.S. +4 more
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Étude comparative de différents correcteurs pour la commande optimale avec défauts d’une machine pentaphasée [PDF]
, 2012 La version éditeur de cet article est accessible à l'adresse suivante : doi:10.3166/ejee.15.377-400The use of multiphase PM synchronous machines associated with VSI drives appears to be a very efficient solution when a high level of reliability ...
CHARPENTIER, Jean-Frederic +3 more
core +1 more source
Dynamic Modeling of a Front-Loading Type Washing Machine and Model Reliability Investigation
Machines, 2021 A linear dynamic model of a front-loading type washing machine was developed in this study. The machine was conceptualized with three moving rigid bodies, revolute joints, springs, and dampers along with prescribed rotational drum motion.
Jungjoon Park, Sinwoo Jeong, Honghee Yoo
doaj +1 more source
LINEAR FRICTION WELDING – PROCESS CONTROL AND MACHINE TECHNOLOGY [PDF]
MATEC Web of Conferences, 2020 Linear Friction Welding (LFW) is well adapted to produce titanium aircraft engine and structure parts, as an alternative to machining from solid, from forging or from electron beam welded blanks.
PIOLLE N.
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Machine Learning for Semi Linear PDEs [PDF]
Journal 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
IEEE 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