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Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis
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Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis | 314 | Yan, Ruqiang;Shen, Fei; | 2023 | Elsevier | 9780323999892

Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis introduces the theory and latest applications of transfer learning on rotary machine fault diagnosis and prognosis. Transfer learning-based rotary machine fault diagnosis is a relatively new subject, and this innovative book synthesizes recent advances from academia and industry to provide systematic guidance. Basic principles are described before key questions are answered, including the applicability of transfer learning to rotary machine fault diagnosis and prognosis, technical details of models, and an introduction to deep transfer learning. Case studies for every method are provided, helping readers apply the techniques described in their own work. Offers case studies for each transfer learning algorithm
Optimizes the transfer learning models to solve specific engineering problems
Describes the roles of transfer components, transfer fields, and transfer order in intelligent machine diagnosis and prognosis


Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis introduces the theory and latest applications of transfer learning on rotary machine fault diagnosis and prognosis. Transfer learning-based rotary machine fault diagnosis is a relatively new subject, and this innovative book synthesizes recent advances from academia and industry to provide systematic guidance. Basic principles are described before key questions are answered, including the applicability of transfer learning to rotary machine fault diagnosis and prognosis, technical details of models, and an introduction to deep transfer learning. Case studies for every method are provided, helping readers apply the techniques described in their own work.
Offers case studies for each transfer learning algorithm
Optimizes the transfer learning models to solve specific engineering problems
Describes the roles of transfer components, transfer fields, and transfer order in intelligent machine diagnosis and prognosis


✅ Contents of Download:
⭐️ Transfer Learning for Rotary Ma - Ruqiang Yan.pdf (9.15 MB)
⭐️ Transfer Learning for Rotary Ma - Yan, Ruqiang;Shen, Fei;.epub (86.89 MB)

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✅ Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis (96.04 MB)

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