Deep Neural Networks Enabled Intelligent Fault Diagnosis of Mechanical Systems is popular PDF and ePub book, written by Ruqiang Yan in 2024-06-06, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Deep Neural Networks Enabled Intelligent Fault Diagnosis of Mechanical Systems can be Read Online from any device for your convenience.
Deep Neural Networks Enabled Intelligent Fault Diagnosis of Mechanical Systems Book PDF Summary
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.
Detail Book of Deep Neural Networks Enabled Intelligent Fault Diagnosis of Mechanical Systems PDF
- Author : Ruqiang Yan
- Release : 06 June 2024
- Publisher : CRC Press
- ISBN : 9781040026618
- Genre : Computers
- Total Page : 272 pages
- Language : English
- PDF File Size : 16,6 Mb
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