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.
Table of Contents
1. Development of a Smart Algorithm to Integrate Fault Detection and Classification of End-to-End Monitoring of Autonomous Transfer Vehicles
P. Prabhakaran, Mudit Joshi, Pramoda Patro, Abhishek Choubey, and Santosh Reddy Addula
2. Data Science and ML Algorithms to Investigate Different Testing Scenarios for Various Anomalies in Driven Electric Motor
Arpit Jain, P. R.Sivaraman, Abhishek Choubey, and Guna Sekhar Sajja
3. A Data Fusion Technique to Detect and Assess Electromechanical Damage
Arpit Jain, Bala Ganesh N., Abhishek Choubey, Pramoda Patro, and Lakshman Kumar Kanulla
4. AI: Classification and Protection of Smart Grid Systems
Akshaya Kubba, D. Prabakar, Nmg Kumar, and Shruti Bhargava Choubey
5. An Artificial Intelligence-Based Solar Radiation Prophesy Model for Green Energy Utilization in Energy Management System
Pradeep Kumar Mishra, Amit Kumar Pathak, Abhishek Choubey, and Sesikala Bapatla
6. Two-Channel Convolutional Neural Networks for Rolling Bearing Fault Diagnosis in Unbalanced Datasets
Ramesh Babu Pittala, Bhuvaneswari M. S., and Pramoda Patro
7. The Implementation of Artificial Intelligence for Auto Gearbox Failure Detection
Ashish A Mulajkar, G. Laxmaiah, Raju Kumar, and Shruti Bhargava Choubey
8. Evolutionary Algorithms to Optimise Deep Learning Models for Water Industry Forecasts
Ravi H. Gedam, Sonia H. Bajaj, Hemlata Rahul Kosrae, Vishakha Akhara, and Girish A Garg Hate
9. Artificial Intelligence Anomaly Detection and Root-Cause Analysis
Vishal Gangadhar Puranik, T. Chithrakumar, E. Naresh, and Shruti Bhargava Choubey
10. Artificial Intelligence and Internet of Things-Based Intelligent Scheduling for Load Distribution in Power Grids
Selvam Suganya, Mukesh Soni, Sushilkumar Dangiya, Maher Ali Rusho, and Sagar Dhanraj Pande
11. Coordinated Response Strategies: Swarm Robotics for Crisis Management
Renu R. Dandge, Tushar R. Mahore, Ankush Vasantdahat, Pallavi H. Dhole, Nikhilesh P. Mankar, and Sagar Dhanraj Pande
12. Smart Farming and Human-Bioinformatics Systems Based on IoT and Sensor Devices
G. Bhavya, N. Ashwini, K. Sumana, Mukesh Soni, and Sagar Dhanraj Pande
13. Machine Learning Techniques Applied to Predictive Maintenance: A Review
P. Chenga Reddy, Karamala Naveen, Naveen Kilari and Nagena Panini Challa
14. Optimization of Parameters During Tribological Investigations on Azadirachta Indica Based Bio-Composites
G. Venkatakoteswararao and R. Vinayagamoorthy
15. ANFIS Modelling Study on Surface Water Analysis
P. Meenakshi
16. WSN-Based Optimal Crude Oil Storage Health Monitoring Framework
Ismail Keshta, Mukesh Soni, Sagar Dhanraj Pande, Roshan Rajenakumar Karwa, and Haewon Byeon
17. Cybersecurity Education Gamification: A Current Review and Research Agenda
Ramiz Salama and Fadi Al-Turjman
18. Artificial Intelligence and Cybersecurity in 6G Wireless Networks
Ramiz Salama and Fadi Al-Turjman
Editor(s)
Biography
Dr. T. Rajasanthosh Kumar is an associate professor of the Department of Mechanical Engineering at Oriental Institute of Science and Technology, Bhopal, India.
Dr. Surendra Reddy Vinta is an associate professor of the School of Computer Science and Engineering at VIT-AP University, Amaravati, India.
Dr. Sagar Dhanraj Pande is head of the School of Engineering and Technology at Pimpri Chinchwad University, Pune, Maharashtra, India.
Dr. Aditya Khamparia is an assistant professor and coordinator of the Department of Computer Science at Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India.
