Electric Machines PDF
By:Hamid A. Toliyat,Subhasis Nandi,Seungdeog Choi,Homayoun Meshgin-Kelk
Published on 2017-12-21 by CRC Press
With countless electric motors being used in daily life, in everything from transportation and medical treatment to military operation and communication, unexpected failures can lead to the loss of valuable human life or a costly standstill in industry. To prevent this, it is important to precisely detect or continuously monitor the working condition of a motor. Electric Machines: Modeling, Condition Monitoring, and Fault Diagnosis reviews diagnosis technologies and provides an application guide for readers who want to research, develop, and implement a more effective fault diagnosis and condition monitoring scheme—thus improving safety and reliability in electric motor operation. It also supplies a solid foundation in the fundamentals of fault cause and effect. Combines Theoretical Analysis and Practical Application Written by experts in electrical engineering, the book approaches the fault diagnosis of electrical motors through the process of theoretical analysis and practical application. It begins by explaining how to analyze the fundamentals of machine failure using the winding functions method, the magnetic equivalent circuit method, and finite element analysis. It then examines how to implement fault diagnosis using techniques such as the motor current signature analysis (MCSA) method, frequency domain method, model-based techniques, and a pattern recognition scheme. Emphasizing the MCSA implementation method, the authors discuss robust signal processing techniques and the implementation of reference-frame-theory-based fault diagnosis for hybrid vehicles. Fault Modeling, Diagnosis, and Implementation in One Volume Based on years of research and development at the Electrical Machines & Power Electronics (EMPE) Laboratory at Texas A&M University, this book describes practical analysis and implementation strategies that readers can use in their work. It brings together, in one volume, the fundamentals of motor fault conditions, advanced fault modeling theory, fault diagnosis techniques, and low-cost DSP-based fault diagnosis implementation strategies.
This Book was ranked at 25 by Google Books for keyword Diagnosis.
Book ID of Electric Machines's Books is YgpEDwAAQBAJ, Book which was written byHamid A. Toliyat,Subhasis Nandi,Seungdeog Choi,Homayoun Meshgin-Kelkhave ETAG "o5Jb0foyhNc"
Book which was published by CRC Press since 2017-12-21 have ISBNs, ISBN 13 Code is 9781351837873 and ISBN 10 Code is 1351837877
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Book which have "272 Pages" is Printed at BOOK under CategoryTechnology and Engineering
Book was written in en
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