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Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
Engelsk Hardback
Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
Engelsk Hardback

1.029 kr
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Om denne bog

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.

Product detaljer
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):
Kategori sammenhænge