Machine Learning Integration in Power Electronics: Essential Principles, Implementation Practices, and Industry Applications
暫譯: 電力電子中的機器學習整合：基本原則、實施實踐與產業應用

Al-Kaf, Hasan Ali Gamal, Lee, Kyo-Beum

Machine Learning Integration in Power Electronics: Essential Principles, Implementation Practices, and Industry Applications
  • 出版商: Springer
  • 出版日期: 2026-01-03
  • 售價: $8,170
  • 貴賓價: 9.5 折 $7,762
  • 語言: 英文
  • 頁數: 161
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9819538440
  • ISBN-13: 9789819538447
  • 相關分類: Machine Learning、電力電子 Power-electronics

    • 海外代購書籍(需單獨結帳)

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商品描述

This book provides a comprehensive guide for integrating machine learning techniques to enhance power electronic systems, with a focus on real-time applications, fault detection, and advanced control systems. Machine learning applications in power electronics delve into the transformative potential of machine learning in the field of power electronics. It is designed for professionals, researchers, and students who seek to leverage machine learning to address complex challenges and optimize performance in power electronics. The book explores the synergies between machine learning and power electronics, highlighting the importance of these technologies in industries such as renewable energy, electric vehicles, and industrial automation. It provides practical insights into implementing machine learning solutions, covering essential concepts, algorithms, workflows, and real-time deployment. Readers can gain valuable knowledge on integration strategies and advanced applications, including control of permanent magnet synchronous motor (PMSM) drives and fault detection in neutral point clamped (NPC) inverters. Additionally, the book offers best practices for selecting appropriate machine learning methods, such as integrating physics-informed models, utilizing lightweight neural networks, ensuring transparency with explainable methods, and employing conformal prediction for reliable outcomes. Beyond practical guidance, this book presents innovative ideas from recent literature, showcasing cutting-edge applications and future research directions. With its practical focus, detailed methodologies, and forward-looking insights, this book is an essential resource for anyone looking to harness the power of machine learning to drive innovation and improve system performance in power electronics.

商品描述(中文翻譯)

本書提供了一個全面的指南，旨在整合機器學習技術以增強電力電子系統，重點關注即時應用、故障檢測和先進控制系統。機器學習在電力電子中的應用深入探討了機器學習在電力電子領域的變革潛力。該書專為希望利用機器學習來解決複雜挑戰並優化電力電子性能的專業人士、研究人員和學生而設計。書中探討了機器學習與電力電子之間的協同效應，強調這些技術在可再生能源、電動車和工業自動化等行業中的重要性。它提供了實施機器學習解決方案的實用見解，涵蓋了基本概念、算法、工作流程和即時部署。讀者可以獲得有關整合策略和先進應用的寶貴知識，包括控制永磁同步電動機（PMSM）驅動和在中性點夾持（NPC）逆變器中的故障檢測。此外，本書還提供了選擇適當機器學習方法的最佳實踐，例如整合物理知識模型、利用輕量級神經網絡、確保透明度的可解釋方法，以及使用符合預測以獲得可靠結果。除了實用指導外，本書還展示了來自近期文獻的創新想法，展示了前沿應用和未來研究方向。憑藉其實用的重點、詳細的方法論和前瞻性的見解，本書是任何希望利用機器學習推動創新並改善電力電子系統性能的人的重要資源。

作者簡介

Hasan Ali Gamal Al-kaf received the B.S. (Hons.) degree in electronic engineering and the M.S. degree in electrical engineering from Universiti Tun Hussein Onn Malaysia, Johor, Malaysia, in 2016 and 2018, respectively. He is currently pursuing the Ph.D. degree in electrical and computer engineering at Ajou University, Suwon, Korea. His main areas of research interests are power electronics, motor drives, multilevel inverters, artificial intelligence, and machine learning.


Prof. Kyo-Beum Lee received the B.S. and M.S. degrees in electrical and electronic engineering from Ajou University, Suwon, Korea, in 1997 and 1999, respectively. He received the Ph.D. degree in electrical engineering from Korea University, Seoul, Korea, in 2003. From 2003 to 2006, he was with the Institute of Energy Technology, Aalborg University, Aalborg, Denmark. From 2006 to 2007, he was with the Devision of Electronics and Information Engineering, Jeonbuk National University, Jeonju, Korea. In 2007, he joined the Department of Electrical and Computer Engineering, Ajou University, Suwon, Korea. He is Associate Editor of IEEE Transactions on Power Electronics. His research interests include electric machine drives, renewable power generations, and electric vehicle applications.

作者簡介(中文翻譯)

Hasan Ali Gamal Al-kaf 於 2016 年和 2018 年分別在馬來西亞柔佛的馬來西亞敦胡先翁大學獲得電子工程學士（榮譽）學位和電氣工程碩士學位。他目前正在韓國水原的 Ajou University 追求電氣與計算機工程的博士學位。他的主要研究興趣領域包括電力電子學、馬達驅動、多層次逆變器、人工智慧和機器學習。

李喬範教授於 1997 年和 1999 年分別在韓國水原的 Ajou University 獲得電氣與電子工程的學士和碩士學位。他於 2003 年在韓國首爾的高麗大學獲得電氣工程博士學位。從 2003 年到 2006 年，他在丹麥奧爾堡大學的能源技術研究所工作。從 2006 年到 2007 年，他在韓國全州的全北國立大學電子與資訊工程系任職。2007 年，他加入韓國水原的 Ajou University 電氣與計算機工程系。他是 IEEE Transactions on Power Electronics 的副編輯。他的研究興趣包括電機驅動、可再生能源發電和電動車應用。

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