Development of intelligent fault-tolerant control systems with machine leaprning, deep learning, and transfer learning algorithms: A review

AA Amin, MS Iqbal, MH Shahbaz - Expert Systems with Applications, 2023 - Elsevier
Abstract Intelligent Fault-Tolerant Control (IFTC) refers to the applications of machine
learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The …

A review of anti-surge control systems of compressors and advanced fault-tolerant control techniques for integration perspective

T Alsuwian, AA Amin, MS Iqbal, MT Maqsood - Heliyon, 2023 - cell.com
In this review paper, the anti-surge control (ASC) of the compressors and fault-tolerant
control (FTC) systems are described from the perspective of integration for reliability …

A novel balanced Aquila optimizer using random learning and Nelder–Mead simplex search mechanisms for air–fuel ratio system control

S Ekinci, D Izci, L Abualigah - Journal of the Brazilian Society of …, 2023 - Springer
An air–fuel ratio system has a crucial role in helping protect the environment from the
harmful emissions of the lean combustion spark-ignition engines and regulating fuel …

Design of hybrid fault-tolerant control system for air-fuel ratio control of internal combustion engines using artificial neural network and sliding mode control against …

MH Shahbaz, AA Amin - Advances in Mechanical …, 2023 - journals.sagepub.com
This paper proposes a novel hybrid fault-tolerant control system (HFTCS) with dedicated
non-linear controllers: artificial neural network (ANN) and sliding mode control (SMC) for …

Review of Methods for Diagnosing the Degradation Process in Power Units Cooperating with Renewable Energy Sources Using Artificial Intelligence

P Ziółkowski, M Drosińska-Komor, J Głuch, Ł Breńkacz - Energies, 2023 - mdpi.com
This work is based on a literature review (191). It mainly refers to two diagnostic methods
based on artificial intelligence. This review presents new possibilities for using genetic …

Neuro-evolutionary framework for design optimization of two-phase transducer with genetic algorithms

A Zameer, S Naz, MAZ Raja, J Hafeez, N Ali - Micromachines, 2023 - mdpi.com
Multilayer piezocomposite transducers are widely used in many applications where broad
bandwidth is required for tracking and detection purposes. However, it is difficult to operate …

Design of Advanced Fault-Tolerant Control System for Three-Phase Matrix Converter Using Artificial Neural Networks

F Ahmad, T Alsuwian, AA Amin, M Adnan… - IEEE Access, 2023 - ieeexplore.ieee.org
The Matrix converters (MCs) are widely used in a large number of applications such as
Aircraft, Submarines, and AC drives. In these applications, because of the many chances of …

Experimental study of the impact of metal (iron, copper and aluminum) surface and light exposure on gum formation in Iraqi automotive gasoline

RJ Algawi, JI Humadi, LA Khamees - Petroleum Science and …, 2023 - Taylor & Francis
In this study, the influence of various metals (iron, cast iron, copper, aluminum) and sunlight
on the gum formation rate in Iraqi gasoline fuel (IGF) is studied. Gasoline has been doped …

Higher Order Sliding Mode Control for Speed Control of BLDC Motor

Z Alqarni - 2023 IEEE 13th Annual Computing and …, 2023 - ieeexplore.ieee.org
In this paper, a higher-order sliding mode controller (HOSMC) is proposed for speed control
of a Brushless Direct Current (BLDC) Motor. BLDC motors find extensive applications in …

[PDF][PDF] The Exigency for Resilient and Cyber-Secure Critical Infrastructure in the Caribbean.

A Mohammed, F Muddeen, L Marine, CJ Ramlal - West Indian Journal of …, 2023 - uwi.tt
Critical Infrastructures (CIs) are essential assets used to maintain vital societal functions, for
example utilities such as power, water, gas, and telecommunication networks. CIs comprise …