Results 51 to 60 of about 15,321 (232)

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

Energy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman, Md. Minarul Islam, Md. Shahin Parvej, Abdul Hasib Chowdhury, Taha Selim Ustun, Kashem M. Muttaqi   +5 more
wiley   +1 more source

Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]

, 2009
This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk, Tan, Andy Chit Chiow, Tran, Van, Tran, Van Tung, Oh, Myung-Suck, Tan, Andy   +5 more
core   +1 more source

New type side weir discharge coefficient simulation using three novel hybrid adaptive neuro-fuzzy inference systems

Applied Water Science, 2018
In many hydraulic structures, side weirs have a critical role. Accurately predicting the discharge coefficient is one of the most important stages in the side weir design process. In the present paper, a new high efficient side weir is investigated.
Hossein Bonakdari, Amir Hossein Zaji
doaj   +1 more source

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source

ANFIS-PSO decision surface for the detection model: input1—Maximum_Frame, input2—Frame_STD.

, 2016
ANFIS-PSO decision surface for the detection model: input1—Maximum_Frame, input2—Frame_STD.
Firdaus Afifi (3112299), Kim-Kwang Raymond Choo (717729), Shahaboddin Shamshirband (576336), Nor Badrul Anuar (3112296)   +3 more
core   +1 more source

Fault Detection of Electric Motors via Symmetrized Dot Pattern‐Based Features

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study proposes a novel symmetrized dot pattern (SDP) approach using designed SDP‐based features, extracted from transformed vibration signals, for fault detection. These features describe the compactness, inclination, and shape of the “snowflake” diagram distributions.
Mario Spirto, Pierangelo Malfi, Armando Nicolella, Francesco Melluso, Chiara Cosenza, Sergio Savino, Vincenzo Niola   +6 more
wiley   +1 more source

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah, Md. Shakil Rahaman, Travis Wiens   +2 more
wiley   +1 more source

Comparative Analysis of ANFIS and State-ANFIS for Forecasting Cooking Oil Prices Based on Processed Palm Oil Yield (Crude Palm Oil)

Applied Computational Intelligence and Soft Computing
The adaptive neuro-fuzzy inference system (ANFIS) is widely employed in modeling intricate systems, especially in forecasting cooking oil prices.
Brodjol Sutijo Suprih Ulama, Fausania Hibatullah, Mochammad Reza Habibi, null Makkulau   +3 more
doaj   +1 more source

Solar radiation forecasting in nigeria based on hybrid PSO-ANFIS and WT-ANFIS approach

International Journal of Electrical and Computer Engineering (IJECE), 2019
<p>For an effective and reliable solar energy production, there is need for precise solar radiation knowledge. In this study, two hybrid approaches are investigated for horizontal solar radiation prediction in Nigeria. These approaches combine an Adaptive Neuro-fuzzy Inference System (ANFIS) with Particle Swarm Optimization (PSO) and Wavelet ...
Salisu, S., Mustafa, M. W., Mustapha, M., Mohammed, O. O.   +3 more
openaire   +3 more sources

In Situ Curing‐Enabled 3D Printing of Continuous Fiber‐Reinforced Thermosetting Composites

Journal of Polymer Science, EarlyView.
In situ curing‐enabled the 3D printing of continuous fiber/thermoset composites, which were reviewed. Particularly, four types of in situ curing, were discussed, including Radiation‐induced curing, photothermal curing, electrothermal curing, and frontal polymerization. AI‐integrated printing was also analyzed.
Xiaofei Wu, Harrison Hayworth, Shiren Wang   +2 more
wiley   +1 more source