Handbook of AI-Based Mechatronics Systems and Smart Solutions in Industrial Automation

1. Auflage 2025
ISBN: 978-1-032-61435-9
Verlag: Taylor & Francis Ltd

Buch, Englisch, 304 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

Reihe: Intelligent Manufacturing and Industrial Engineering

Artificial Intelligence and Mechatronics are booming areas where most of the industrial sectors are becoming smart nowadays. This handbook includes material of multidisciplinary content from the Artificial Intelligence, Mechanical, and Electronics Engineering domains among others. It gives insights into various application sectors discussing current global developments in mechatronics employing AI technology and addressing the complexity of current issues and the effects of diverse mechatronics systems.

Handbook of AI-Based Mechatronics Systems and Smart Solutions in Industrial Automation focuses on system automation, predictive analysis, preventive analysis, and real-time decision-making systems for next-generation automation. It discusses the advancements of mechatronics systems using AI applications along with the global approach toward smart industrial automation and presents the impact of AI on today’s work of autonomous and industrial automation. The book discusses future research potential and is beneficial to manufacturing, healthcare, and finance disputes, while it offers AI algorithms to analyze large amounts of data and identifies patterns, trends, and anomalies for accurate predictions and optimization processes. The handbook also addresses use cases and case studies related to AI in mechatronics along with applications.

Scholars doing studies in the field of artificial intelligence (AI) in mechatronics and related applications will find this book useful. In particular, attention is drawn to both fundamental ideas and important practical contexts. Readers interested in the most recent findings in the field of problem-oriented processing approaches in Mechatronics, including those in academia, data science, industry, research, and academia's student body, will find this fascinating handbook extremely interesting.

Zielgruppe

Professional Reference

Autoren/Hrsg.

Elngar, Ahmed A.

Naveenkumar, Pushpalatha

Abdullah, Azween

Sharma, Vandana

D., Gunapriya

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik Mathematik Operations Research
• Technische Wissenschaften Technik Allgemein Industrial Engineering
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik

Inhaltsverzeichnis

1. AI in Mechatronics Engineering. 2. AI Frameworks in Mechatronics Engineering. 3. Extendable AI in Mechatronics Engineering. 4. Artificial Intelligence in the Mechatronics Sector, Challenges and Future Directions. 5. Fault Diagnosis and Predictive Maintenance Using AI in the Mechatronics Industry. 6. Control Systems Optimization Using AI in Mechatronics Engineering. 7. Robotics and AI in the Mechatronics Industry. 8. Arm Controlled Waste Picking Robot Rover utilizing Image Recognition Model Server, iOS, and Microcontroller Application over Bluetooth. 9. Industrial Automation and AI in the Mechatronics Industry. 10. AI-Based Sustainable Solution for Energy Management in the Mechatronics Industry. 11. Advancements in Path Tracking: Integrating Q-Learning, Reinforcement Learning, and Artificial Neural Networks for Autonomous Robotics. 12. Industrial AI for Smart Manufacturing Sector. 13. The Contemporary AI-Based Data Gathering Environment in Smart Manufacturing Enterprise. 14. Case Studies and Applications of AI in the Mechatronics Sector. 15. Future Research Directives of AI in Mechatronics Engineering.

Über Autor(innen)

Pushpalatha Naveenkumar is an Assistant Professor in the Department of Electrical and Electronics Engineering at Sri Eshwar College of Engineering, Coimbatore. Her current research interests are Power Electronics and Drives, Power Quality, the Internet of Things, Electric Vehicles, and Artificial Intelligence. She is a life member of the Indian Society for Technical Education (ISTE) and has guided many student projects in the area of IoT and Power Electronics. She has over 13 years of experience teaching engineering.

Vandana Sharma is an Associate Professor at Amity Institute of Information Technology, Amity University Noida Campus, India. She is an honorary Adjunct Professor and Senior Fellow of the Scientific Innovation Research Group (SIRG) at Beni Suef University, Egypt. Dr. Sharma has 14+ years of teaching experience at the postgraduate level and has guided 100+ student dissertations. She is a Senior Member of IEEE and a keen researcher. She has published 40+ research papers in SCI and Scopus Indexed international journals and conferences. Dr. Sharma has contributed voluntarily as a Reviewer and Technical Program Committee (TPC) member for reputed international journals and IEEE Conferences and has presented her work across India and abroad. Currently, she is a post-doctoral fellow at Lincoln University College, Malaysia. Her primary areas of interest include Artificial Intelligence, Blockchain Technology, and the Internet of Things (IoT).

D. Gunapriya is an Assistant Professor with over 15 years of experience in various Engineering colleges and is currently associated with Sri Eshwar College of Engineering- Coimbatore. Her area of interest involves Electrical Machines and Drives, Artificial Intelligence, and Renewable Energy Resources. Her research is with Induction Motor Fault analysis using Thermal Images. She has published with reputed journals and has book chapters and a patent to her credit.

Azween Bin Abdullah is a professor and dean at Perdana University, Faculty of Applied Computing, Malaysia. Dr. Abdullah has been contributing to research, teaching, consulting, and administrative services at the institutions that he has been working for. He is a professional development alumnus of Stanford University and MIT and his work experience includes thirty years as an academic in institutions of higher learning and as director of research and academic affairs at two institutions of higher learning, vice-president for educational consultancy services, fifteen years as at commercial companies as a software engineer, systems analyst and as a computer software developer and IT/MIS consultancy and training. Dr. Azween Abdullah has several patents under his name and has been actively serving as an expert reviewer and editorial board member for several high-impact technical journals. He has also published more than 150 publications in various technical journals and conference proceedings and has given technical talks at a number of key international conferences, industry summits, and forums.

Ahmed A. Elngar is an Associate Professor and Head of the Computer Science department, at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. Dr. Elngar is the Founder and Head of the Scientific Innovation Research Group (SIRG). and is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. He has more than 55 scientific research papers published in prestigious international journals and over 25 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment. Dr. Elngar is a collaborative researcher and a member of the Egyptian Mathematical Society (EMS) and the International Rough Set Society (IRSS).