Results 191 to 200 of about 26,566 (274)

Fault analysis addressing the combined influence of high penetration of DFIG, SCIG, PMSG wind farms, and PV farms in power grid integration. [PDF]

Sci Rep
Dhouib B, Zdiri MA, Khan B, Guerrero JM, Abdallah HH.   +4 more
europepmc   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch, Venkayya Yadlapalli, Suhana Sulthana Sk, G. Thippa Reddy, Sandeep Kautish   +4 more
wiley   +1 more source

Deep Learning-Based Fault Diagnosis via Multisensor-Aware Data for Incipient Inter-Turn Short Circuits (ITSC) in Wind Turbine Generators. [PDF]

Sensors (Basel)
Wang Q, Cui S, Li E, Du J, Li N, Sun J.
europepmc   +1 more source

Model‐Aided State Parameter Inversion Identification of Electromagnetic Trip Device for High Voltage Circuit Breakers

High Voltage, EarlyView.
ABSTRACT In this paper, a model‐aided state parameter inversion identification method based on the coil current (CC) of electromagnetic trip device (ETD) is proposed to realise the state parameter inversion online and the quantitative description of defects.
Feiyue Yan, Jiangjun Ruan, Yufei Liu, Yongqing Deng   +3 more
wiley   +1 more source

Adaptive electronic relay for smart grid based on self-healing protection. [PDF]

PLoS One
Nasrallah M, Abdelaleem A, Ismeil MA, Hussein HS.   +3 more
europepmc   +1 more source

Robust load frequency control in renewable integrated Multi Area grids using hybrid SA and QIO tuned PIDF controller. [PDF]

Sci Rep
Younis W, Yameen MZ, Junejo AK, Abido MA, Khalid M.   +4 more
europepmc   +1 more source

Deep learning model for enhanced power loss prediction in the frequency domain for magnetic materials

IET Power Electronics, EarlyView.
This paper outlines the methodology for predicting power loss in magnetic materials. A neural network based method is introduced, which adopts a long short‐term memory network, expressing the core loss as a function of magnetic flux density in the frequency domain, temperature, frequency, and classification of the waveforms.
Dixant Bikal Sapkota, Puskar Neupane, Mecon Joshi, Shahabuddin Khan   +3 more
wiley   +1 more source

Validation of energy valley optimization for adaptive fuzzy logic controller of DFIG-based wind turbines. [PDF]

Sci Rep
Elnaghi BE, Ismaiel AM, El Sayed Abdel-Kader F, Abelwhab MN, Mohammed RH.   +4 more
europepmc   +1 more source