Results 111 to 120 of about 55,481 (267)

Remaining Useful Life (RUL) Prediction Methods for Machine Health Estimation and Fault Diagnosis: A Comprehensive Review of Latest Techniques and Future Prospects

open access: yesEngineering Reports, Volume 8, Issue 4, April 2026.
A comprehensive review of model‐based, data‐driven, and hybrid approaches for Remaining Useful Life (RUL) prediction, emphasizing their role in predictive maintenance, fault diagnosis, and enhancing industrial reliability. ABSTRACT This paper aims to provide a state‐of‐the‐art review of the most recent Remaining Useful Life (RUL) prediction methods ...
Arslan Ahmed Amin   +4 more
wiley   +1 more source

Fractional order ANFIS controllers for LFC in RES integrated three-area power system

open access: yesJournal of Electrical Systems and Information Technology
The existing adaptive neuro-fuzzy inference system (ANFIS) for load frequency control in multi-area power systems has two inputs consisting of area control error (ACE) and its integer order derivative.
Yaw O. M. Sekyere   +2 more
doaj   +1 more source

A Multi‐Fiber Data‐Driven Framework for Predicting Impact Resistance of Fiber‐Reinforced Concrete Using Hybrid ANN Optimization

open access: yesEngineering Reports, Volume 8, Issue 4, April 2026.
This study presents a unified, data‐driven framework for predicting the impact resistance of fiber‐reinforced concrete (FRC) using hybrid Artificial Neural Networks (ANNs) trained with Genetic Algorithm (GA) and Levenberg–Marquardt (LM) optimization techniques.
Hossein Khosravi   +2 more
wiley   +1 more source

Research on Annual Runoff Prediction Based on EMD-LSTM-ANFIS Model

open access: yesRenmin Zhujiang, 2021
To improve the accuracy of runoff prediction,this paper proposes a runoff prediction model based on the combination of empirical mode decomposition (EMD),long short-term memory (LSTM) neural network,and adaptive neuro-fuzzy inference system (ANFIS ...
HU Shunqiang, CUI Dongwen
doaj  

Prediction of Ultimate Strain and Strength of FRP-Confined Concrete Cylinders Using Soft Computing Methods

open access: yesApplied Sciences, 2017
This paper investigates the effectiveness of four different soft computing methods, namely radial basis neural network (RBNN), adaptive neuro fuzzy inference system (ANFIS) with subtractive clustering (ANFIS-SC), ANFIS with fuzzy c-means clustering ...
Iman Mansouri   +4 more
doaj   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

open access: yesEnergy Science &Engineering, Volume 14, Issue 4, Page 2318-2344, April 2026.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan   +4 more
wiley   +1 more source

A multi-objective framework for the optimisation of life-cycle costs of wind turbines [PDF]

open access: yes, 2016
Peer reviewedPublisher ...
Hanish Nithin, Anu, Omenzetter, Piotr
core  

Industrial Robot Solution by ANFIS

open access: yes, 2021
Abstract— In this paper Inverse kinematics solution of the PUMA 560 is solved. In robotics the main problem is to find the inverse kinematics solution. Forward kinematics is calculated with the help of D-H (Denavit-Hartenberg) parameter method. Now a day’s inverse kinematics is the area of research in robotics.
Singh*, Gurjeet, V. K. Banga**
openaire   +1 more source

An ANFIS Approach for Real Power Transfer Allocation

open access: yesJournal of Applied Mathematics, 2011
This paper proposes an adaptive neurofuzzy interface system (ANFIS) approach to identify the real power transfer between generators. Based on solved load flow results, it first uses modified nodal equation method (MNE) to determine real power ...
Hussain Shareef   +3 more
doaj   +1 more source

Evaluating the Impact of Missing Data Imputation through the use of the Random Forest Algorithm

open access: yes, 2008
This paper presents an impact assessment for the imputation of missing data. The data set used is HIV Seroprevalence data from an antenatal clinic study survey performed in 2001.
Marwala, Tshilidzi, Pantanowitz, Adam
core   +1 more source

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