Results 31 to 40 of about 701 (247)

Applications of a Strong Track Filter and LDA for On-Line Identification of a Switched Reluctance Machine Stator Inter-Turn Shorted-Circuit Fault

open access: yesEnergies, 2019
Reliability is pivotal significance for switched reluctance machine drives (SRD) applied to safety essential transportation and industrial fields.
Li Xiao   +5 more
doaj   +1 more source

Multi-Objective Optimization of Switched Reluctance Machine Design Using Jaya Algorithm (MO-Jaya)

open access: yesMathematics, 2021
The switched reluctance machine (SRM) design is different from the design of most of other machines. SRM has many design parameters that have non-linear relationships with the performance indices (i.e., average torque, efficiency, and so forth).
Mohamed Afifi   +3 more
doaj   +1 more source

A Novel Linear Switched Reluctance Machine: Analysis and Experimental Verification [PDF]

open access: yesAmerican Journal of Engineering and Applied Sciences, 2010
The important problems to be solved in Linear Switched Reluctance Machines (LSRMs) are: (1) to design the shape and size of poles in stator and translator cores; (2) to optimize their geometrical configuration. A novel stator geometry for LSRMs that improved the force profile was presented in this study.
openaire   +1 more source

Analytical Modeling and Optimization of Partitioned Permanent Magnet Consequent Pole Switched Flux Machine With Flux Barrier

open access: yesIEEE Access, 2022
Switched Flux Permanent Magnet Machine (SFPMM) encompass unique features of conventional direct current machine, permanent magnet (PM) synchronous machine and switch reluctance machine therefore, applicable for high-speed applications.
Wasiq Ullah   +4 more
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Modeling of Static Characteristics of Switched Reluctance Motor [PDF]

open access: yesMehran University Research Journal of Engineering and Technology, 2013
To investigate the running characteristics of a switched reluctance motor, the static characteristics and related input data tables are required. The static characteristics comprise of flux linkage, co-energy and static torque characteristics.
Ali Asghar Memon   +2 more
doaj  

Maximum Power Point Tracking for a Point Absorber Device with a Tubular Linear Switched Reluctance Generator

open access: yesEnergies, 2018
This paper addresses the control of a Tubular Linear Switched Reluctance Generator (TLSRG) with application in a point absorber device. A maximum power point tracking (MPPT) strategy is proposed to maximize the power extraction from ocean waves.
Rui Mendes   +2 more
doaj   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

open access: yesAdvanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu   +6 more
wiley   +1 more source

Design and Modeling of Tubular Double Excitation Windings Linear Switched Reluctance Motor

open access: yes, 2015
A novel tubular double excitation winding linear switched reluctance motor is presented in this paper. It helps to increase the electromagnetic force of the linear switched reluctance motor.
I-Ming Chen   +10 more
core   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

open access: yesAdvanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson   +6 more
wiley   +1 more source

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