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Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems

Af: Zhibin Zhao, Ruqiang Yan Engelsk Hardback

Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems

Af: Zhibin Zhao, Ruqiang Yan Engelsk Hardback
Tjek vores konkurrenters priser

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.

Tjek vores konkurrenters priser
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kr 830
Fragt: 39 kr
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20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser

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.

Produktdetaljer
Sprog: Engelsk
Sider: 206
ISBN-13: 9781032752372
Indbinding: Hardback
Udgave:
ISBN-10: 1032752378
Udg. Dato: 6 jun 2024
Længde: 20mm
Bredde: 183mm
Højde: 260mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 6 jun 2024
Forfatter(e): Zhibin Zhao, Ruqiang Yan
Forfatter(e) Zhibin Zhao, Ruqiang Yan


Kategori Neurale net og fuzzy systemer


ISBN-13 9781032752372


Sprog Engelsk


Indbinding Hardback


Sider 206


Udgave


Længde 20mm


Bredde 183mm


Højde 260mm


Udg. Dato 6 jun 2024


Oplagsdato 6 jun 2024


Forlag Taylor & Francis Ltd

Kategori sammenhænge