Results 51 to 60 of about 10,723 (231)

Novel Intelligence ANFIS Technique for Two-Area Hybrid Power System’s Load Frequency Regulation [PDF]

E3S Web of Conferences
The main objective of Load Frequency Control (LFC) is to effectively manage the power output of an electric generator at a designated site, in order to maintain system frequency and tie-line loading within desired limits, in reaction to fluctuations. The
Nireekshana Namburi, Ramachandran R., Narayana G.V.   +2 more
doaj   +1 more source

Designing full-order sliding mode controller based on ANFIS approximator for uncertain nonlinear chaotic systems [PDF]

International Journal of Industrial Electronics, Control and Optimization, 2019
In this paper, a full-order sliding mode controller, based on adaptive neuro-fuzzy inference system is proposed as approximator, for controlling nonlinear chaotic systems in presence of uncertainty.
Khadijeh Akbari, Behrooz Rezaie, Safa Khari   +2 more
doaj   +1 more source

A novel approach for ANFIS modelling based on Grey system theory for thermal error compensation

, 2014
The fast and accurate modelling of thermal errors in machining is an important aspect for the implementation of thermal error compensation. This paper presents a novel modelling approach for thermal error compensation on CNC machine tools.
Longstaff, Andrew P., Fletcher, Simon, Longstaff, Andrew P, Andrew P Longstaff, Ali M Abdulshahed, Abdulshahed, Ali, Simon Fletcher, Abdulshahed, Ali M.   +7 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

Prediction of Breast Cancer Metastasis Using Fuzzy Models based on Data from Iranian Breast Cancer Patients

مجله انفورماتیک سلامت و زیست پزشکی, 2020
Introduction: The metastasis of breast cancer, the spread of cancer to different body parts, is considered as one of the most important factors responsible for the majority of deaths caused by breast cancer in women.
Arezou HomaieFasih, Alireza Atashi, Hojjat Ahsani Tehrani   +2 more
doaj  

Rainfall prediction in the northeast region of Thailand using Modular Fuzzy Inference System

, 2012
In water management systems, accurate rainfall forecasting is indispensable for operation and management of reservoir, and flooding prevention because it can provide an extension of lead-time of the flow forecasting.
Wong, K.W., Fung, C.C., Chun Che Fung, Kok Wai Wong, Kajornrit, J., Jesada Kajornrit   +5 more
core   +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

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

Sustainable Development, EarlyView.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi, Feihong Liang, Francesco Marinello, Andrea Pezzuolo   +3 more
wiley   +1 more source

Active multimode vibration control of a smart structure using macro fiber composite actuators based on ANFIS

Journal of Low Frequency Noise, Vibration and Active Control, 2020
In this study, vibration control was achieved using macro fiber composite actuators initiated by feedback from polyvinylidene difluoride (PVDF) membrane sensors.
Wen-Lin Chu, Chih-Jer Lin, Ming-Jia Li
doaj   +1 more source

Multi-step ahead direct prediction for machine condition prognosis using regression trees and neuro-fuzzy systems

, 2009
This paper presents an approach to predict the operating conditions of machine based on classification and regression trees (CART) and adaptive neuro-fuzzy inference system (ANFIS) in association with direct prediction strategy for multi-step ahead ...
Yang, Bo-Suk, Tan, Andy Chit Chiow, Tran, Van Tung   +2 more
core   +1 more source