Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
English | 2024 | ISBN: 1032752378 | 342 Pages | EPUB | 10 MB
English | 2024 | ISBN: 1032752378 | 342 Pages | EPUB | 10 MB
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.