Results 31 to 40 of about 447,541 (315)

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

Hybrid modelling and simulation of a computer numerical control machine tool feed drive [PDF]

open access: yes, 2004
The paper presents a new approach to the modelling and simulation of a computer numerical control (CNC) machine tool feed drive. The hybrid model of the drive incorporates a distributed load, explicit damping factors and measured non-linear effects in ...
C Pislaru   +5 more
core   +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

Approximation results for flow shop scheduling problems with machine availability constraints [PDF]

open access: yes, 2009
This paper considers two-machine flow shop scheduling problems with machine availability constraints. When the processing of a job is interrupted by an unavailability period of a machine, we consider both the resumable scenario in which the processing ...
Strusevich, Vitaly A.   +2 more
core   +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

Random projections as regularizers: learning a linear discriminant ensemble from fewer observations than dimensions

open access: yes, 2013
We examine the performance of an ensemble of randomly-projected Fisher Linear Discriminant classifiers, focusing on the case when there are fewer training observations than data dimensions.
Kabán, Ata, Durrant, Robert J.
core   +1 more source

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