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Hardback or Cased Book. Zustand: New. Advances in Machine Fault Diagnosis. Book.

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Gebundene Ausgabe. Zustand: Neu. Research on machine fault diagnosis (MFD) methods is receiving significant attention in academia and industry due to the importance of identifying underlying causes of machine faults. The overall objective of MFD methods is to develop an effective diagnosis procedure. Recent methodological advances permit compressive MFD, providing detailed information essential for the prevention of future machine failures. Some of the most promising approaches for the continuous advancement of fault detection and diagnosis technologies are: advanced digital signal processing, vibration-based condition monitoring, modal and operational mode analysis, neural network analysis, and machine learning. Artificial Intelligence (AI) has become one of the most transformative technological revolutions since, e.g., the invention of the steam or electric engines. Robustness, precision automated (online) learning, and the capacity to handle complex data are some of AI's attributes that hold significant potential for MFD. In hand with the Internet of Things (IoT) and cloud computing, the emerging AI-based diagnostic methods are proving themselves to be powerful tools for the future. The main objective of this Special Issue is to gather state-of-the-art research contributing recent advances in machine fault diagnosis and, hopefully, to outline future research directions in the field. Sprache: Englisch Gewicht in Gramm: 678.…

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Hardback. Zustand: New. This accessible textbook offers a clear and concise introduction to the core principles of electric machines, focusing on the conversion of energy through mechanical power, electrical power, torque, magnetic fields, and rated voltage.Covering the key processes behind electric machine theory, including mechanics and electromagnetism, Fundamentals of Electrical Machines enables readers to develop a systematic view of the technology. Including case studies with industry examples, the book is both theoretical and practical. Chapters cover topics such as basic concepts of electrical machines and transformers, electromagnetism, asynchronous machines, and synchronous machines. It also details DC machines and includes revision questions to help self-guided learning.This book will be of interest to students in electrical engineering and engineers in all fields interested in electromechanical systems.…

Hardcover. Zustand: Brand New. 464 pages. 9.00x6.00x9.24 inches. In Stock.

Hardback. Zustand: New. This accessible textbook offers a clear and concise introduction to the core principles of electric machines, focusing on the conversion of energy through mechanical power, electrical power, torque, magnetic fields, and rated voltage.Covering the key processes behind electric machine theory, including mechanics and electromagnetism, Fundamentals of Electrical Machines enables readers to develop a systematic view of the technology. Including case studies with industry examples, the book is both theoretical and practical. Chapters cover topics such as basic concepts of electrical machines and transformers, electromagnetism, asynchronous machines, and synchronous machines. It also details DC machines and includes revision questions to help self-guided learning.This book will be of interest to students in electrical engineering and engineers in all fields interested in electromechanical systems.…

HRD. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Research on machine fault diagnosis (MFD) methods is receiving significant attention in academia and industry due to the importance of identifying underlying causes of machine faults. The overall objective of MFD methods is to develop an effective diagnosis procedure. Recent methodological advances permit compressive MFD, providing detailed information essential for the prevention of future machine failures. Some of the most promising approaches for the continuous advancement of fault detection and diagnosis technologies are: advanced digital signal processing, vibration-based condition monitoring, modal and operational mode analysis, neural network analysis, and machine learning. Artificial Intelligence (AI) has become one of the most transformative technological revolutions since, e.g., the invention of the steam or electric engines. Robustness, precision automated (online) learning, and the capacity to handle complex data are some of AI's attributes that hold significant potential for MFD. In hand with the Internet of Things (IoT) and cloud computing, the emerging AI-based diagnostic methods are proving themselves to be powerful tools for the future. The main objective of this Special Issue is to gather state-of-the-art research contributing recent advances in machine fault diagnosis and, hopefully, to outline future research directions in the field.…