Fault Diagnosis of Permanent Magnets Machines
暫譯: 永磁電機故障診斷

Faiz, Jawad

Fault Diagnosis of Permanent Magnets Machines
  • 出版商: Wiley
  • 出版日期: 2026-09-25
  • 售價: $5,570
  • 貴賓價: 9.5 折 $5,291
  • 語言: 英文
  • 頁數: 448
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1394424973
  • ISBN-13: 9781394424979
  • 相關分類: 電機學 Electric-machinery

    • 海外代購書籍(需單獨結帳)

商品描述

Detect, model, and diagnose faults in permanent magnet machines

Permanent magnet motors operate under conditions that produce inadequate lubrication, mechanical shocks, thermal stress, and excessive loading, all of which elevate the likelihood of catastrophic failure. Fault Diagnosis of Permanent Magnets Machines, written by a team of experienced electrical engineers and researchers, provides the theory, modeling approaches, simulation techniques, experimental validation, and practical implementation strategies needed to identify and address these fault mechanisms.

The book details multiple modeling methods, such as lumped-parameter models and finite element techniques, and supports them with machine learning-based modeling techniques. With a structured comparison between permanent magnet synchronous machines and induction machines, the book also includes:

  • Coverage of fault origins across automotive, industrial automation, and renewable energy applications where permanent magnet machines are deployed
  • Guidance on repair strategies and practical implementation considerations for maintaining operational resilience in PM motor systems
  • Detailed examination of how abnormal operating conditions and adverse environmental factors contribute to elevated internal stress levels
  • Machine learning techniques applied to fault modeling and detection, expanding beyond traditional analytical and numerical diagnostic methods
  • Experimental validation procedures that connect theoretical fault models to real-world diagnostic outcomes in PM machine operation

Designed for engineers responsible for safe operation of PM machines in industrial product lines and researchers working in condition monitoring, this book also serves as supplementary reading for advanced graduate courses on fault diagnosis of PM machines, providing the analytical tools needed to enhance reliability across applications.

商品描述(中文翻譯)

偵測、建模並診斷永磁電機中的故障

永磁馬達在運作過程中可能面臨潤滑不足、機械衝擊、熱應力與過度負載等狀況，這些因素都會提高發生災難性故障的可能性。《永磁電機故障診斷》由一群經驗豐富的電機工程師與研究人員共同撰寫，提供辨識及處理這些故障機制所需的理論、建模方法、模擬技術、實驗驗證，以及實務導入策略。

本書詳細介紹多種建模方法，例如集總參數模型（lumped-parameter model）與有限元素技術（finite element technique），並結合以機器學習為基礎的建模技術加以延伸。透過對永磁同步電機與感應電機的系統性比較，本書亦涵蓋：

• 探討永磁電機應用於汽車、工業自動化與再生能源等領域時的各種故障起因

• 說明維修策略與實務導入時的考量，協助維持永磁馬達系統的運作韌性

• 詳細分析異常操作條件與不利環境因素如何導致內部應力升高

• 將機器學習技術應用於故障建模與偵測，突破傳統解析與數值診斷方法的限制

• 介紹實驗驗證程序，將理論故障模型與永磁電機運作時的實際診斷結果相互連結

本書適合負責工業產品線中永磁電機安全運作的工程師，以及從事狀態監測的研究人員閱讀；同時也可作為高階研究所永磁電機故障診斷課程的補充教材，提供提升各類應用可靠性所需的分析工具。

作者簡介

Jawad Faiz, PhD, is a Distinguished Professor and Director of the Center of Excellence on Applied Electromagnetic Systems at the University of Tehran, Iran. A Life Fellow of IEEE and Fellow of Iran Academy of Sciences, he has authored more than 350 journal papers, 3 books published by Springer, IET and IEEE/Wiley. Dr. Faiz received many international and National awards, including the silver Einstein medal from UNESCO.

Ehsan Mazaheri-Tehrani is currently pursuing a Ph.D. in electrical engineering at the University of Tehran, Iran. His research interests include modeling, control, and fault diagnosis of electric machines, as well as the application of machine learning techniques in power engineering.

Bashir-Mahdi Ebrahimi, PhD, is a Principal Engineer in Aura Systems Inc., USA, leading the design of high-performance electric motors and actuators for eVTOL and defense applications. He has authored over 100 publications and received more than 11 national and international honors across two decades of work.

作者簡介(中文翻譯)

Jawad Faiz 博士是伊朗 University of Tehran 的特聘教授，並擔任 Applied Electromagnetic Systems 卓越中心主任。他是 IEEE 終身會士，也是 Iran Academy of Sciences 院士，已發表超過 350 篇期刊論文，並由 Springer、IET 及 IEEE/Wiley 出版 3 本著作。Faiz 博士曾獲得多項國際及國家級獎項，其中包括 UNESCO 頒發的銀質 Einstein 獎章。

Ehsan Mazaheri-Tehrani 目前正在伊朗 University of Tehran 攻讀電機工程博士學位。他的研究興趣包括電機的建模、控制與故障診斷，以及機器學習技術在電力工程中的應用。

Bashir-Mahdi Ebrahimi 博士是美國 Aura Systems Inc. 的首席工程師，負責領導 eVTOL 與國防應用之高效能電動馬達及致動器的設計。在超過二十年的工作期間，他已發表 100 多篇論文與出版品，並獲得超過 11 項國家級及國際榮譽。

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