AI and Machine Learning for Mechanical and Electrical Engineering
eBook - ePub

AI and Machine Learning for Mechanical and Electrical Engineering

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

AI and Machine Learning for Mechanical and Electrical Engineering

About this book

Practical and informative, AI and Machine Learning for Mechanical and Electrical Engineering examines how artificial intelligence (AI) is changing the status quo in mechanical engineering, electrical systems, and management. Real-world examples and case studies demonstrate the application of AI in such diverse settings as industry and policymaking. This book illustrates how AI is playing a crucial role in enhancing productivity and innovation in various industries. It discusses transition methods and the ethical implications of using AI in mechanical engineering. Chapter highlights include the following:

  • Developing a smart algorithm to integrate fault detection and classification
  • Algorithms to investigate different testing scenarios for various anomalies in electric motors
  • Data fusion to detect and assess electromechanical damage
  • Neural networks for rolling bearing fault diagnosis
  • Evolutionary algorithms to optimize deep learning models for water industry forecasts
  • AI-based anomaly detection and root-cause analysis

An overarching theme is the transition from traditional mechanical, electrical, and management systems to AI-enabled smart systems. The book helps readers make sense of the challenges of integrating smart systems. It equips engineers with theoretical understanding as well as insight based on hands-on expertise. It shows how to better link and automate systems and improve productivity. This book not only shows how to implement smart solutions now but also shows the way to a more intelligent, productive, and interconnected future.

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Yes, you can access AI and Machine Learning for Mechanical and Electrical Engineering by T. Rajasanthosh Kumar,Surendra Reddy Vinta,Sagar Dhanraj Pande,Aditya Khamparia in PDF and/or ePUB format, as well as other popular books in Computer Science & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Chapter 1 Development of a Smart Algorithm to Integrate Fault Detection and Classification of End-to-End Monitoring of Autonomous Transfer Vehicles
  8. Chapter 2 Data Science and ML Algorithms to Investigate Different Testing Scenarios for Various Anomalies in Driven Electric Motor
  9. Chapter 3 A Data Fusion Technique to Detect and Assess Electromechanical Damage
  10. Chapter 4 Ai:: Classifications and Protection of the Smart Grid Systems
  11. Chapter 5 An Artificial Intelligence-Based Solar Radiation Prophesy Model for Green Energy Utilisation in the Energy Management System
  12. Chapter 6 Two-Channel Convolutional Neural Networks for Rolling Bearing Fault Diagnosis in Unbalanced Datasets
  13. Chapter 7 The Implementation of Artificial Intelligence for Auto Gearbox Failure Detection
  14. Chapter 8 Evolutionary Algorithms to Optimise Deep Learning Model for Water Industry Forecasts
  15. Chapter 9 Artificial Intelligence Anomaly Detection and Root Cause Analysis
  16. Chapter 10 Artificial Intelligence and Internet of Things-Based Intelligent Scheduling for Load Distribution in Power Grids
  17. Chapter 11 Coordinated Response Strategies:: Swarm Robotics for Crisis Management
  18. Chapter 12 Smart Farming and Human Bioinformatics Systems Based on IoT and Sensor Devices
  19. Chapter 13 Machine Learning Techniques Applied in Predictive Maintenance:: A Review
  20. Chapter 14 Optimization of Parameters During Tribological Investigations on Azadirachta indica-Based Bio-Composites
  21. Chapter 15 ANFIS Modelling Study on Surface Water Analysis
  22. Chapter 16 WSN-Based Optimal Crude Oil Storage Health Monitoring Framework
  23. Chapter 17 Cybersecurity Education Gamification:: A Current Review and Research Agenda
  24. Chapter 18 Artificial Intelligence and Cybersecurity in 6G Wireless Networks
  25. Index