AI and Machine Learning for Mechanical and Electrical Engineering

AI and Machine Learning for Mechanical and Electrical Engineering

Architect the intelligent industrial systems of the next era and master the high-performance protocols of modern algorithmic engineering. AI and Machine Learning for Mechanical and Electrical Engineering provides a definitive, engineering-first roadmap to the most significant shift in technical design since the digital revolution. Learn how to move beyond static physical models to high-velocity, predictive ecosystems—bridging the gap between traditional CAD/Circuit design and autonomous, learning-capable systems—ensuring your technical infrastructures are resilient, scalable, and ready for the 2026 industrial landscape.

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What You Will Learn:

Foundations of Smart Engineering: Master the core principles of integrating Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) into mechanical structures and power grids.

Predictive Maintenance & Fault Detection: Step-by-step guidance on utilizing real-time sensor data to identify anomalies before system failure, maintaining peak operational integrity.

Optimization for Power & Thermal Systems: Discover how to utilize genetic algorithms and deep learning to maximize energy efficiency and heat dissipation in complex electrical circuits.

Strategic Security & Data Integrity: Learn advanced techniques for maintaining information security within Industrial IoT (IIoT) networks, protecting hardware-level data from external manipulation.

Who This Book is For: This professional-grade guide is essential for Mechanical Engineers, Electrical Architects, and Systems Integrators. It is an invaluable resource for any technical lead—including those building intelligent hardware-software graduation projects like Smart Guard—aiming to master the structural integrity and technical agility required for modern, AI-enhanced engineering delivery.

Product Details:

Format: Digital PDF Download

Authors: T. Rajasanthosh Kumar; Surendra Reddy Vinta; Sagar Dhanraj Pande; Aditya Khamparia

Publisher: CRC Press (Taylor & Francis)

ISBN-13: 9781032759487

ISBN-10: 1032759488