Téléchargez le livre : Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis

Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis

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Elsevier Science


Paru le : 2023-11-10

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Description
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

Elsevier Science & Technology
Pages
300 pages
Collection
n.c
Parution
2023-11-10
Marque
Elsevier Science
EAN papier
9780323999892
EAN PDF
9780323914239
Informations sur l'ebook
Nombre pages copiables
30
Nombre pages imprimables
30
Taille du fichier
9390 Ko
Prix
184,63 €
EAN EPUB SANS DRM
9780323914239
Informations sur l'ebook
Prix
184,63 €

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