Electromagnetic Compatibility Engineering Essentials: Definitive Reference for Developers and Engineers

"Electromagnetic Compatibility Engineering Essentials"

"Electromagnetic Compatibility Engineering Essentials" is a comprehensive and authoritative resource designed for professionals and advanced students seeking to master the principles and practices of EMC. The book opens with a strong foundation in fundamental electromagnetic theory, regulatory landscape, and the critical importance of EMC in ensuring system reliability and operational continuity. It guides readers through the intricacies of interference sources, from radiated and conducted phenomena to the parasitic complexities inherent in modern electronic environments, providing a thorough analytical backdrop for effective compliance.

The narrative progresses into pragmatic aspects of the discipline, covering global standards, regulatory frameworks, compliance testing protocols, and the evolution of product certification pathways. Detailed guidance is offered on modeling, simulation, and measurement—crucial for identifying and resolving EMC challenges at both the component and system levels. Advanced topics such as predictive modeling, co-simulation, and real-time diagnostic techniques empower engineers to anticipate and mitigate issues before they impact project timelines or product performance.

Rounding out the text are cutting-edge chapters on the design and lifecycle management of EMC in complex systems, including embedded, wireless, automotive, and high-reliability sectors. Readers will also benefit from insights into emerging technologies—such as AI-driven mitigation, metamaterials, and the unique EMC demands of quantum and photonic systems. "Electromagnetic Compatibility Engineering Essentials" stands as a vital reference for those committed to engineering robust, compliant, and future-ready electronic systems in an increasingly demanding electromagnetic environment.

© 2025 HiTeX Press (E-Book): 6610000813100

Erscheinungsdatum

E-Book: 25. Mai 2025