Ruqiang yan (106 resultados)

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Paperback. Condición: Brand New. 206 pages. 7.01x0.49x10.00 inches. In Stock.

Hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Condición: New. Ruqiang Yan is a professor at the School of Mechanical Engineering, Xi an Jiaotong University. His research interests include data analytics, AI, and energy-efficient sensing and sensor networks for the condition monitoring and health diagnosis of.

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Neuware - The book aims to highlight the potential of deep learning (DL)-enabled methods in intelligent fault diagnosis (IFD), along with their benefits and contributions.The authors first introduce basic applications of DL-enabled IFD, including auto-encoders, deep belief networks, and convolutional neural networks. Advanced topics of DL-enabled IFD are also explored, such as data augmentation, multi-sensor fusion, unsupervised deep transfer learning, neural architecture search, self-supervised learning, and reinforcement learning. Aiming to revolutionize the nature of IFD, Deep Neural Networks-Enabled Intelligent Fault Diangosis of Mechanical Systems contributes to improved efficiency, safety, and reliability of mechanical systems in various industrial domains.The book will appeal to academic researchers, practitioners, and students in the fields of intelligent fault diagnosis, prognostics and health management, and deep learning.…

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

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Condición: New. 1st edition NO-PA16APR2015-KAP.

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Condición: New.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

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Paperback. Condición: new. Paperback. Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. In English.

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Taschenbuch. Condición: Neu. Structural Health Monitoring | An Advanced Signal Processing Perspective | Ruqiang Yan (u. a.) | Taschenbuch | Smart Sensors, Measurement and Instrumentation | xi | Englisch | 2018 | Springer | EAN 9783319858326 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Hardcover. Condición: Brand New. 232 pages. 10.00x7.00x10.00 inches. In Stock.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for structural health monitoring (SHM). Its primary focus is on the utilization of advanced signal processing techniques to help monitor the health status of critical structures and machines encountered in our daily lives: wind turbines, gas turbines, machine tools, etc. As such, it offers a key reference guide for researchers, graduate students, and industry professionals who work in the field of SHM.…

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for structural health monitoring (SHM). Its primary focus is on the utilization of advanced signal processing techniques to help monitor the health status of critical structures and machines encountered in our daily lives: wind turbines, gas turbines, machine tools, etc. As such, it offers a key reference guide for researchers, graduate students, and industry professionals who work in the field of SHM.…

Condición: New. Provides a comprehensive survey on wavelets specifically related to problems encountered in manufacturingCovers the similarities and differences between wavelet transform and other analytical techniques commonly used on the factory floor for signal processi.

Condición: Sehr gut. Zustand: Sehr gut | Seiten: 388 | Sprache: Englisch | Produktart: Bücher | This book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for structural health monitoring (SHM). Its primary focus is on the utilization of advanced signal processing techniques to help monitor the health status of critical structures and machines encountered in our daily lives: wind turbines, gas turbines, machine tools, etc. As such, it offers a key reference guide for researchers, graduate students, and industry professionals who work in the field of SHM.…