Multivariate linear-regression variable parameter spatio-temporal zoning model for temperature prediction in steel rolling reheating furnace

Q Bao, S Zhang, J Guo, Z Li, Z Zhang - Journal of Process Control, 2023 - Elsevier
In the steel industry, temperature control and prediction of billets during heating in steel
rolling reheating furnace (SRRF) can guarantee product performance and save energy …

Implementation of vibrations faults monitoring and detection on gas turbine system based on the support vector machine approach

N Hadroug, A Iratni, A Hafaifa, B Alili, I Colak - Journal of Vibration …, 2024 - Springer
Purpose Gas turbines play a critical role in the gas and hydrocarbon industry, but they are
prone to failures and malfunctions that can impact their performance and safety. Therefore, it …

Advancing predictive maintenance for gas turbines: An intelligent monitoring approach with ANFIS, LSTM, and reliability analysis

L Brahimi, N Hadroug, A Iratni, A Hafaifa… - Computers & Industrial …, 2024 - Elsevier
Gas turbine malfunctions can significantly impact production and safety. This study proposes
an intelligent monitoring system for MS5002C gas turbines using Adaptive Neuro-Fuzzy …

[HTML][HTML] Constrained temperature and relative humidity predictive control: Agricultural greenhouse case of study

H Hamidane, SEL Faiz, I Rkik, M El Khayat… - Information Processing …, 2023 - Elsevier
Abstract The importance of Model Predictive Control (MPC) has significant applications in
the agricultural industry, more specifically for greenhouse's control tasks. However, the …

[PDF][PDF] Stability and analysis of vibrations bifurcation based on dynamic modeling of a Solar Titan 130 gas turbine

M Alaoui, A Iratni, OS Alshammari, A Hafaifa… - … časopis-Journal of …, 2022 - sciendo.com
This work is interested in studying the vibrations' stability in gas turbines, compared to a
dynamic model of the Jeffcott rotor, the parameters of the gas turbine will be estimated for …

Masked Multiple State Space Model Identification Using FRD and Evolutionary Optimization

MÖ Efe, B Kürkçü, C Kasnakoğlu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Identification of dynamical systems from frequency response data (FRD) has extensively
been studied and effective techniques have been developed. Given different FRD sets …

Mathematical modelling of ball and plate system with experimental and correlation function-based model validation

TRD Kumar, SJ Mija - Control Theory and Technology, 2024 - Springer
The ball and plate system is an inherently nonlinear under actuated benchmark system used
for validating the performance of various control schemes. A mathematical model depicting …

A Comparative Modeling Study of Gas Turbine Using Adaptive Neural Network, Nonlinear Autoregressive Exogenous, and Fuzzy Logic Approaches for Modeling and …

A Benyounes, A Iratni, A Hafaifa… - International Journal of …, 2023 - ijsmartgrid-org.ijrer.org
This paper focuses on the identification and modeling of gas turbine dynamics, specifically
those used in power generation plants. The approach utilizes experimental data and …

Identification of twin-shaft gas turbine based on hybrid decoupled state multiple model approach

S Aissat, A Iratni, A Hafaifa, M Guemana… - Soft Computing, 2023 - Springer
Monitoring control of industrial systems is essential for the good productivity and safety of
installations and operators, with better performance that must be guaranteed. This is often …

Closed-loop identification practice of two-shaft gas turbine variables with reliable linear control approach

N Hadroug, TI Bisker, A Kouzou, A Iratni… - … Multi-Conference on …, 2023 - ieeexplore.ieee.org
The practice of control strategies and their applications on industrial systems requires
reliable models in implementation, with an identification of their variables involved in the …