Transfer Learning for Rotary Machine Fault 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 synthesi...
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| Autor principal: | |
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| Format: | Electrònic eBook |
| Idioma: | anglès |
| Publicat: |
Amsterdam, Netherlands ; Oxford, United Kingdom ; Cambridge MA :
Elsevier,
[2024]
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| Matèries: | |
| Accés en línia: | ScienceDirect |
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| Sumari: | 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. |
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| Descripció física: | 1 online resource |
| Bibliografia: | Includes bibliographical references and index. |
| ISBN: | 0323914233 9780323914239 9780323999892 0323999891 |