Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems - Softcover

Yan, Ruqiang; Zhao, Zhibin

 
9781032757247: Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
Softcover
ISBN 10: 1032757248 ISBN 13: 9781032757247
Verlag: Taylor & Francis Ltd, 2026

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

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 large-scale, complex, dynamical systems.

Zhibin Zhao is an assistant professor at the School of Mechanical Engineering, Xi'an Jiaotong University. His research interests include sparse signal processing and machine learning, especially deep learning for machine fault detection, diagnosis, and prognosis.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Taylor & Francis Ltd
Erscheinungsdatum
2026
Sprache
Englisch
ISBN 10 
1032757248
ISBN 13 
9781032757247
Einband
Taschenbuch
Anzahl der Seiten
218
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
gpsr@libri.de
gpsr@libri.de

Friedensallee 273
Hamburg
22763
Deutschland

Weitere beliebte Ausgaben desselben Titels

9781032752372: Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems

Vorgestellte Ausgabe

ISBN 10:  1032752378 ISBN 13:  9781032752372
Verlag: CRC Press, 2024
Hardcover