Machine Intelligence in Mechanical Engineering

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.
- Provides detailed case studies of how machine intelligence has been used in mechanical engineering applications- Includes a basic introduction to machine learning algorithms and their implementation- Addresses innovative applications of AR/VR technology in mechanical engineering

1. Machine Intelligence in Mechanical Engineering: An Introduction2. A smart production line management system using Face Recognition and Augmented reality3. Maintenance Optimization through Equipment Performance Prediction using Machine Learning based on In line Instrument Datasets - A surface Condenser Case Study4. Minimizing inter-cellular movement of parts and maximizing the utilization of machines using Correlation index-based clustering algorithm5. Application of Augmented Reality and Virtual Reality Technologies for Maintenance and Repair of Automobile and Equipment in Mechanical Engineering6. 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 Society9. Motion Planning and Control for Autonomous Vehicle Collision Avoidance System Using Potential Field-Based Parameter Scheduling10. 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 review12. Application of computationally intelligent modelling to glass fibre-reinforced plastics drilling13. Applied Advanced Analytics in Marketing of Mechanical Products14. 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 transportation17. 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 environment21. Deep Learning Applied Solid Waste Recognition Targeting Sustainable Development Goal