Machine Intelligence in Mechanical Engineering

Erscheinungsjahr 2024
ISBN: 978-0-443-18644-8
Verlag: Elsevier Science

Buch, Englisch, 450 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 700 g

Machine Intelligence in Mechanical Engineering explains the latest applications of machine intelligence and data-driven decision-making in mechanical engineering industries. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions, this interdisciplinary book will help readers explore additional applications in their own fields. Those with a mechanical background will learn the important tasks related to preprocessing of datasets, feature extraction, verification and validation of machine learning models which unlock these new methods.

Machine Intelligence is currently a key topic in industrial automation, enabling machines to solve complex engineering tasks and driving efficiencies in the smart production line. Smart preventative maintenance systems can prevent machine downtime, smart monitoring and control can produce more effective workflows with less human intervention.

Autoren/Hrsg.

Palanikumar, K.

Natarajan, Elango

Ramesh, S.

Davim, J. Paulo

Fachgebiete

• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Computergestützte Fertigung
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

1. Machine Intelligence in Mechanical Engineering: An Introduction 2. A smart production line management system using Face Recognition and Augmented reality 3. Maintenance Optimization through Equipment Performance Prediction using Machine Learning based on In line Instrument Datasets - A surface Condenser Case Study 4. Minimizing inter-cellular movement of parts and maximizing the utilization of machines using Correlation index-based clustering algorithm 5. Application of Augmented Reality and Virtual Reality Technologies for Maintenance and Repair of Automobile and Equipment in Mechanical Engineering 6. Application of Machine Vision Technology in Manufacturing Industries-A study 7. Estimation of Wing Stall Delay Characteristics with Outward Dimples using Numerical Analysis 8. An IoT-based integrated safety framework of autonomous vehicles for Special Needs Society 9. Motion Planning and Control for Autonomous Vehicle Collision Avoidance System Using Potential Field-Based Parameter Scheduling 10. Long-Term Predictive Maintenance System with Application and Commercialization to Industrial Conveyors 11. Predicting the mechanical behavior of CFRP using machine learning methods: a systematic review 12. Application of computationally intelligent modelling to glass fibre-reinforced plastics drilling 13. Applied Advanced Analytics in Marketing of Mechanical Products 14. Information and Communication Technologies: Enablers for the successful implementation of Supply Chain 4.0 15. Machine Learning Implementation in Tyre Compounding 16. Machine Intelligence based learning for ecological transportation 17. A review on social impacts of automation on human capital in Malaysia 18. Autonomous systems with intelligent agents. 19. Human-Like Driver Model for Emergency Collision Avoidance using Non-linear Autoregressive with Exoganeous Inputs Neural Network 20. Securing Cloud Application using SHAKE256 Hash Algorithm & Antiforgery token in industrial environment 21. Deep Learning Applied Solid Waste Recognition Targeting Sustainable Development Goal

Über Autor(innen)

Ramesh, S.
Dr. S. Ramesh is an Assistant Professor (SS) in the Department of Mechatronics Engineering, Rajalakshmi Engineering College, Thandalam, Chennai. He has completed his Ph.D. degree in Embedded Systems/Machine Learning from VIT University, Chennai in 2020, an M. Tech. Degree in Embedded Systems from SRM University, Chennai, Tamilnadu, India in 2011, B.E. Degree from National Engineering College, Kovilpatti, Tamilnadu, India in 2008. In addition to this, he is currently doing Post Doctoral Research in Malaysia. He has over 13 years of Teaching and Research Experience at various Universities and Engineering Colleges around India.

Davim, J. Paulo
Prof. (Dr.) J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal, with over 35 years of experience in Mechanical, Materials, and Industrial Engineering. He holds multiple distinguished academic titles, including a PhD in Mechanical Engineering and a DSc from London Metropolitan University. He has published over 300 books and 600 articles, with more than 36,500 citations. He is ranked among the world's top 2% scientists by Stanford University and holds leadership positions in numerous international journals, conferences, and research projects.

Natarajan, Elango
Elango Natarajan is a chartered mechanical engineer (CEng.), who specialized in mechanical engineering design, CAE, optimization, and soft robotics. He has worked for engineering colleges/universities for over 20 years in various academic positions.