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    1. Naturvetenskap och teknik
    2. Teknik och industri
    3. Energiteknik

    Artificial Intelligence-Powered Electrical Machine Design

    Optimization, Control, and Innovation

    AvKrishan Arora,Himanshu Sharma

    Inbunden, Engelska, 2026

    1 762 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Artificial intelligence (AI) is no longer just a futuristic concept—it is transforming the way we design, build, and manage electrical machines and intelligent systems today. This groundbreaking volume showcases the convergence of AI, machine learning, and modern engineering, offering a window into the technologies shaping tomorrow’s mobility, energy, and digital ecosystems.From intelligent safety in electric vehicles and predictive maintenance of machines to additive manufacturing, smart disaster management, and Industry 5.0 integration, each chapter presents state-of-the-art research with practical applications. Readers will discover how advanced algorithms enhance machine design, optimize charging station placement, secure cloud pipelines, and redefine data-driven decision-making. The book not only delivers technical depth but also addresses ethical and societal questions, ensuring a holistic understanding of AI’s role in the modern world.Ideal for engineers, researchers, and technology leaders, this book provides both inspiration and actionable insights. Academics and graduate students will find it a rich resource for advancing research, while professionals in mobility, energy, and Internet of Things industries can directly apply its ideas to real-world innovation. For anyone eager to harness the power of AI in engineering and beyond, this volume is an indispensable guide.

    Produktinformation

    • Utgivningsdatum:2026-03-30
    • Mått:156 x 234 x 16 mm
    • Vikt:640 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:244
    • Förlag:Taylor & Francis Ltd
    • ISBN:9781041076551

    Utforska kategorier

    • Energiteknik inom Naturvetenskap och teknik
    • Elektronik och kommunikationer inom Naturvetenskap och teknik
    • Programvaruutveckling inom Data och IT

    Mer om författaren

    Dr. Krishan Arora is associated with Lovely Professional University as a Professor with more than 17 years of experience in academics and research. He is currently the Head of Department of Power Systems in the School of Electronics and Electrical Engineering, Lovely Professional University. He has completed his Ph.D. in Electrical Engineering from MM (Deemed to be) University, Ambala. His research interests include electrical machines, artificial intelligence, load frequency control, electric vehicles, waste management, renewable energy, Internet of Things, and modernization of smart grids. He has published more than 110 research papers in reputed international journals. He has organized several workshops, summer internships, international conferences, special sessions, and expert lectures. He has also published ten Indian patents and one copyright. He has supervised one Ph.D. scholar, ten postgraduate scholars, and more than 30 undergraduate students’ projects. He has attended/participated in 24 national/international online webinars. He has edited fifteen books in different areas of electronics and electrical engineering.Dr. Himanshu Sharma has completed his Ph.D. in Power Electronics from Punjab Engineering College, Chandigarh. He did his M.Tech. in Electrical Engineering from Punjab Engineering College, Chandigarh. He was associated with Lovely Professional University in the Division of Research & Development with more than eight years of experience in intellectual property rights and academics. He is currently deputed as Dean R&D at G.H. Raisoni College of Engineering and Management, Nagpur, since December 2024. He has published more than 30 research papers in reputed international journals. He has organized several workshops, summer internships, international conferences, and expert lectures for students. He has supervised more than five Ph.D. students and more than 15 UG/PG students. He has attended/participated in 20 national/international online webinars. His area of expertise includes power electronics, waste management, machine learning, and optimization techniques. He has taught various courses at UG and PG levels like power electronics, nonconventional energy sources, electric drives, wireless communication, Internet of Things, etc.Dr. Dwarkadas Prahladadas Kothari is a renowned Indian academician and researcher in the field of electrical engineering, with a distinguished career spanning over five decades. He is best known for his significant contributions to power systems, energy management, and electrical machines. A former Director of IIT Delhi and Vice Chancellor of VIT University, Vellore, Dr. Kothari has held various prestigious academic and administrative positions, including Principal of Visvesvaraya National Institute of Technology (VNIT) Nagpur and Head of the Centre for Energy Studies at IIT Delhi. He earned his B.E., M.E., and Ph.D. degrees from BITS Pilani. Widely respected in academia, he has authored over 60 books and published more than 800 research papers in national and international journals and conferences. His work on optimization techniques in power systems, energy conservation, and smart grid technologies has had a lasting impact. Dr. Kothari is a fellow of several professional bodies including IEEE, INAE, and IE(I) and has received numerous accolades such as the Lifetime Achievement Award, UGC Swami Pranavananda Saraswati Award, and the Khosla National Award. His legacy includes mentoring over 50 Ph.D. scholars and serving as a source of inspiration to generations of engineers and researchers in India and abroad.

    Innehållsförteckning

    • 1. Integration of Intelligent Safety Systems in Electric Vehicle Drive Machines 2. Deep Learning Architectures for Optimization of Electrical Machine Design 3. AI Techniques for Predictive Maintenance 4. Artificial Intelligence in Additive Manufacturing: A Comprehensive Review of Applications, Challenges, and Future Directions5. Enhanced Frilled Lizard Optimization (EFLO) Algorithm for Optimizing Decision Variables in Electric Vehicle Charging Station Placement 6. AI-Driven Optimization for Data-based Decision-Making and AR in Disaster Management 7. Conceptualizing the Access and Usage of AI as a Fundamental Right for Netizens 8. Industrial IoT: Transforming Connectivity and Response in the Digital Age 9. Harnessing Data Analytics for Intelligent Electrical Machine Design 10. AI/ML-Based Security in Cloud DevOps Pipelines: Predicting and Preventing Vulnerabilities 11. Design Considerations for Electric Machines in IoT-Based Parking Infrastructure 12. Integrating Industry 5.0 Principles into Electrical Machine Design: Exploring Opportunities and Challenges 13. Simulation and Analysis of Battery State of Charge (SOC) Using MATLAB for Energy Management Systems