Results 81 to 90 of about 1,501,821 (305)

Control of Brushless Doubly-Fed Reluctance Machines under Normal and Faulty Operating Conditions [PDF]

open access: yes
The brushless doubly fed reluctance machine (BDFRM) is an attractive alternative technology to traditional slip-ring doubly fed induction machine (DFIM) for slip-power recovery applications with limited variable speed ranges such as wind turbines or pump-
Hasan, Mohammed
core  

Doubly Fed Induction Generator for wind energy generation using nine-switch power converter

open access: yes, 2011
A Three-Phase Nine-Switch Converter (NSC) topology for Doubly Fed Induction Generator in wind energy generation is proposed in this paper. This converter topology was used in various applications such as Hybrid Electric Vehicles and Uninterruptable Power
Soe, Nyan Paing   +5 more
core   +1 more source

Experimental and finite element studies of a 250 kW brushless doubly fed induction generator

open access: yesThe Journal of Engineering, 2019
This study studies, using experimentally verified finite element (FE) analysis, various performance measures of the brushless doubly fed induction generator (BDFIG) when magnetic wedges are used for closing stator open slots.
Salman Abdi, Ehsan Abdi, Richard McMahon
doaj   +1 more source

Engineered Nanoplatforms Targeting Activated Hepatic Stellate Cells for Liver Fibrosis Therapy via TGF‐β Axis Inhibition and Ferroptosis Induction

open access: yesAdvanced Healthcare Materials, EarlyView.
FeS‐VA@lanifibranor (FVL), an activated hepatic stellate cell (aHSC)‐targeted nanoplatform comprising vitamin A‐functionalized two‐dimensional iron sulfide nanosheets and lanifibranor, is engineered for precision therapy of liver fibrosis. FVL suppresses the TGF‐β signaling pathway by inhibiting SMAD2/3 phosphorylation and induces ferroptosis in aHSCs,
Yinuo Yang   +11 more
wiley   +1 more source

The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems [PDF]

open access: yes, 2007
Includes bibliographical references (leaves 128-129).The thesis examines the use of two time-frequency domain signal processing tools in its application to condition monitoring of electrical machine drive systems.
Barendse, Paul Stanley
core   +1 more source

An Engineered Biomimetic Nanoreactor With Cascade Functions for Targeted and Combinatorial Therapy of Ischemic Stroke

open access: yesAdvanced Healthcare Materials, EarlyView.
Preparation of RVG‐modified erythrocyte membrane‐coated HMPB nanocarriers loaded with L‐arginine and NBP (RM@HPAN) and its neuroprotective mechanism. After intravenous injection, RM@HPAN achieves prolonged circulation, RVG‐29‐mediated BBB penetration, and ischemic accumulation.
Shaofa Li   +9 more
wiley   +1 more source

Control of a wind energy conversion system based on brushless doubly fed induction generator

open access: yesRevue des Énergies Renouvelables, 2014
This paper discusses the control a new topology of a brushless doubly-fed induction generator (BDFIG) using back-to-back PWM converters. The goal of BDFIG control is to achieve a similar dynamic performance to the doubly fed induction generator (DFIG ...
Z. Tir, R. Abdessemed
doaj  

n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz

open access: yesAdvanced Materials, EarlyView.
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis   +19 more
wiley   +1 more source

Analysis of shaft voltage in a doubly-fed induction generator [PDF]

open access: yes, 2007
Fast switching transients and common mode voltage generated by pulse width modulated voltage in high frequency applications may cause many unwanted problems such as shaft voltage and resultant bearing currents. The main objective of this research work is
Adabi Firouzjaee, Jafar   +3 more
core  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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