International Journal of Automation and Safety


Description

The International Journal of Automation and Safety (IJAS) provides comprehensive reviews of important theoretical and applied developments that impact the engineering of autonomous, semi-autonomous systems and safety. The main areas of automation and control system, computer science and risk assessment, safety and risk assessment, process safety and environmental engineering, control, industrial safety and risk assessment, Safety, public health and medical services, robotic safety risk assessment, process engineering and environmental protection, are the main areas covered, as well as links with computer science, reliability and safety, optimization. The journal covers important intersections with fields outside of engineering, including Energy industries, environmental and ecological systems, biology, neuroscience, and human behavioral science. IJAS is an international peer-reviewed open-access journal, disseminating the quality research in the following fields: - Automation, systems and control, - Autonomous systems, - Multiagent systems, - Decision-making and decision support, - Robotics, - Mechatronics, - Data sciences, - New computing paradigms, - Principles and theory of risk assessment and management - Risk assessment policy, standards and regulations - Risk-based decision making and risk management - Decision making and decision support systems for risk and disaster management on regional and global scales - Risk perception and communications - Risk assessment and control - Risk characterisation - Dynamic risk assessment - Integration of risk models and quantifications - Advanced concepts and information technologies in risk assessment and management - Integrated risk assessment and safety management Integrated risk assessment in developing and rapidly developing countries, etc. Topics covered include.


1

Volumes

1

Numéros

5

Articles


Interaction Analysis and Decoupling of Axial-Torsional Vibrations in Rotary Drilling Systems

مداح صبرينة,  Tadjer Sid Ahmed,  Kidouche Madjid,  Doghmane Mohamed Zinelabidine,  Idir Abdelhakim, 
2024-04-08

Résumé: This research aims to investigate the interaction analysis and decoupling of axial-torsional vibrations in rotary drilling systems. The primary focus lies in proposing effective compensators for the decoupling process, allowing the extension of the proposed methodology from single-input single-output (SISO) systems to multi-input multi-output (MIMO) systems. Specifically, the objective is to address the strongly interactive terms between the inputs and outputs of the rotary drilling systems. By achieving this, the interconnected multi-loop components can be treated as a series of SISO subsystems, reflecting the comprehensive dynamics of the original system. The study carefully examines two distinct multivariable systems: a theoretical two-input two-output (TITO) system and an actual rotary drilling system. The results demonstrate the efficiency of the proposed approach, emphasizing its superiority over conventional methods. Notably, the proposed methodology effectively reduces dynamic error, settling time, and rise time, highlighting its potential for enhancing the overall performance and robustness of rotary drilling systems.

Mots clés: Axial-Torsional Vibrations ; Rotary Drilling Systems ; Interaction Analysis, ; Decoupling ; Multi-Input MultiOutput (MIMO) Systems ; SISO Subsystems


Enhancing Mobility for Individuals with Disabilities: A Computer Vision-Based Approach to Electric Wheelchair Control

Amrane Ali,  Benyoucef Ahmed,  Zennir Youcef, 
2024-04-08

Résumé: In this work, we utilized a branch of artificial intelligence known as computer vision to provide easy and possible control of motorized wheelchairs in some special cases. We recognized that many disabled individuals who are unable to use their hands face challenges in operating traditional control sticks. Thus, we proposed a system that controls the wheelchair's movement by tracking the individual's head direction through a fixed camera placed in front of it. This means the wheelchair only moves based on the user's intended path as determined by their visual focus. This work has been successfully implemented in a simulated environment.

Mots clés: Motorized electric wheelchair ; artificial intelligence ; computer vision ; control ; simulation


Autonomous Obstacle Avoidance for a Hexapod Robot Using Proximity Sensors

Benyoucef Ahmed,  Amrane Ali,  Zennir Youcef,  Belatreche Ammar, 
2024-04-08

Résumé: The hexapod walking robot serves as a versatile mobile platform, adept at navigating challenging terrains owing to its stable leg-based locomotion. Demonstrating high stability in both static and dynamic states, it effectively traverses terrains with obstacles. In this paper, we propose a method for obstacle avoidance utilizing proximity sensors, integrated with an Intelligent Walking Algorithm (IWA) for locomotion control, and a tripod gait algorithm for walking. Our simulations were conducted using the CoppeliaSim simulator with the Python interface. The results were highly satisfactory, as the robot consistently avoided obstacles with a remarkable combination of stability and precision.

Mots clés: Hexapod ; Control ; Locomotion ; Algorithm ; Proximity sensor ; CoppeliaSim ; Simulation


Improving safety and risk management in high-risk industries: Focus on Safety Instrumented Systems (SIS) in the oil and gas sector.

حمادي محمد الامين,  رواينية منيرة, 
2024-04-08

Résumé: Abstract— In the industrial sector, safety is paramount as systems face increasing risks and aging equipment. Recent advances have focused on technological risk management, highlighting the need for safety instrumented systems (SIS), as advocated by standards such as IEC 61508 and IEC 61511. This study highlights the critical role of SIS in high-risk industries, particularly in the oil and gas sector, emphasizing the importance of risk analysis and adherence to international guidelines.

Mots clés: Explosion ; Safety ; Fires ; QRA ; BLEVE ; UVCE ; Risk Assessment ; Fault Tree ; Event Tree ; Bayesian Network


Numerical investigation of melting and energy storage of phase change material within a square enclosure

شبلي فتيحة,  مشيغل فريد, 
2024-04-14

Résumé: The investigation centers on the phase change processes integral to latent heat thermal energy storage (LHTES) units. These processes hold significant importance due to their capacity to store excess energy generated by both renewable and conventional power plants. The focus of the study lies in the intricate solid-liquid phase transitions, which are highly sensitive to alterations in thermal boundary conditions. In this specific study, a numerical simulation was carried out to analyze the behavior of kerosene, as a phase-change material, during the melting process inside a square cavity heated from one side and insulated from the other sides. The simulation was carried out using COMSOL Multiphysics software. The results of the study indicate that, initially, thermal conduction plays a dominant role in the melting process, while natural convection develops as melting progresses

Mots clés: Conduction ; Convection ; Melting process ; Phase Change Material (PCM)


Implementing FMEA for Multi-Stage Centrifugal Compressor in ASU “AQS”

لعريط خالد,  زنير يوسف,  رودريغاز مانوال, 
2024-04-08

Résumé: Air separation units (ASUs) play a crucial role in industrial processes that require gases of high purity. Within ASUs, multi-stage centrifugal compressors are vital since they efficiently compress and deliver air for subsequent separation processes. However, these compressors are susceptible to various failure modes, which can have a significant impact on the performance and safety of ASUs. To address this issue, Failure Modes and Effects Analysis (FMEA) is employed as a systematic approach for identifying, analyzing, and prioritizing potential failure modes in complex systems. This article provides an overview of the applications of FMEA in multi-stage centrifugal compressors within ASUs. It explores the challenges and benefits associated with FMEA, emphasizing its role in enhancing compressor reliability, reducing downtime, and fostering operational excellence.

Mots clés: Air separation units (ASU) ; Failure Modes and Effects Analysis (FMEA) ; Multi-stage centrifugal compressor ; Preventive maintenance ; Reliability ; Safety


Developing an Image Encryption Algorithm Utilizing Chaotic Systems

Herbadji Djamel, 
2024-04-19

Résumé: In recent years, the utilization of chaotic maps in encryption has emerged as a compelling area of research, owing to its myriad advantages, rendering it highly suitable for cryptographic applications. This paper introduces a novel image encryption algorithm founded on a confusion-diffusion process. The Logistic-Logistic System is employed to alter both the positions and values of image pixels, while the Sin-Sin system is utilized to modify the pixel values. Remarkably robust security is achieved with just a single encryption round. The algorithm's efficacy has been corroborated through security analysis, with experimental results showcasing its simplicity, efficiency, and attributes such as a vast key space and high sensitivity to its key

Mots clés: image encryption ; security ; Chaotic


Evaluation of the Performance of a Safety Instrumented System by the “Fault Tree” Method Using GRIF Software

براح فاتح,  اينال فارس, 
2024-04-23

Résumé: This study aims to analyze the performance of an safety instrumented system operational in terms of safety integrity utilizing the "fault tree" method, it is one of the most common failure analysis techniques that reveals potential paths that lead to failure of systems or components. This occasional fire-fighting system contains multiple components, requiring careful consideration of different associated architectures. The quantitative analysis of the fault tree is conducted employing the Grif software to ensure high accuracy.

Mots clés: Instrumented safety system ; fault tree ; Grif software (tree module) ; safety integrity.