Supervised learning method for prediction of heat transfer characteristics of nanofluids

E Aylı, E Koçak - Journal of Mechanical Science and Technology, 2023 - Springer
This study focuses on the alication and investigation of the predictive ability of artificial
intelligence in the numerical modelling of nanofluid flows. Numerical and experimental …

Traveling wave-based fault localization in FACTS-compensated transmission line via signal decomposition techniques

S Mishra, S Gupta, A Yadav, AY Abdelaziz - Energies, 2023 - mdpi.com
Modern power systems are structurally complex and are vulnerable to undesirable events
like faults. In the event of faults in transmission line, accurate fault location improves …

A novel hybrid model based on grey wolf optimizer and group method of data handling for the prediction of monthly mean significant wave heights

J Xie, X Xue - Ocean Engineering, 2023 - Elsevier
Significant wave height prediction is challenging owing to the nonlinear and nonsmooth
attributes of wave heights. This study presents a hybrid model coupling group method of …

Design and Experimental Verification of a Posture Correction System: Development of an Artificial Neural Network to Predict the Effectiveness of the Developed …

E Yildiz, M Das - International Journal of Human–Computer …, 2024 - Taylor & Francis
This research aims to address designing an experiment to evaluate the impact of a
developed posture correction system. Also, the correct posture learning habits of users can …

Artificial Hummingbird Algorithm-based fault location optimization for transmission line

S Verma, PK Roy, B Mandal, I Mukherjee - Journal of Engineering and …, 2024 - Springer
Transmission is an important aspect regarding an effective designing of electric supply
system. Ensuring reliable and fault-free transmission from the source for effective distribution …

[PDF][PDF] Hybrid optimized artificial neural network using Latin hypercube sampling and Bayesian optimization for detection, classification and location of faults in …

AY Seidu, E Twumasi, EA Frimpong - AIMS Electronics & Electrical …, 2024 - aimspress.com
Hybrid optimized artificial neural network using Latin hypercube sampling and Bayesian
optimization for detection, classificatio Page 1 AIMS Electronics and Electrical Engineering …

Optimizing Zone Compliance for Distance Relay in Transmission Lines with Installed FACTS Devices

J Tavalaei, HN Afrouzi, MJ Sanjari… - … IEEE Conference on …, 2023 - ieeexplore.ieee.org
This article addresses the dysfunction of protection systems in the presence of FACTS
devices, with a focus on resolving the issues of overreach and underreach commonly …

[PDF][PDF] Jordan Journal of Electrical Engineering

AN Kumar, M Ramesha, EU Kiran, M Suresh… - Jordan Journal of …, 2024 - jjee.ttu.edu.jo
Fault location plays an important role in power systems. It is frequently used in transmission
lines to reduce the system damage for growing electrical energy demand. However, the …

Clasificación y ubicación de fallas en líneas de transmisión utilizando el algoritmo de retro-propagación del clasificador

FJ Mera López - 2023 - dspace.ups.edu.ec
La investigación desarrollada se basa en diseñar y entrenar una red neural artificial (ANN),
para ubicar y clasificar fallas en sistemas eléctricos de transmisión (SET) ya que están …

Research and application of grating passive conveyor integrated protection system

R Wang, Y Li, Y Wang, T Li, Q Shi… - EMIE 2022; The 2nd …, 2022 - ieeexplore.ieee.org
As essential equipment in the conveying process, the safety and stability of the belt conveyor
are of great significance to the efficient and safe operation of the conveying process. If the …