Machine Intelligence in Mechanical Engineering

Herausgeber: Palanikumar, K.; Davim, J Paulo; Ramesh, S.; Natarajan, Elango

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 450
• Erscheinungstermin: 16. Januar 2024
• Englisch
• Gewicht: 700g
• ISBN-13: 9780443186448
• ISBN-10: 0443186448
• Artikelnr.: 67189159

Inhaltsangabe

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