Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis
Book Details
Format
Paperback / Softback
ISBN-10
0323999891
ISBN-13
9780323999892
Publisher
Elsevier - Health Sciences Division
Imprint
Elsevier - Health Sciences Division
Country of Manufacture
NL
Country of Publication
GB
Publication Date
Nov 15th, 2023
Print length
312 Pages
Weight
500 grams
Product Classification:
Industrial relations, health & safetyEnergy technology & engineering
Ksh 27,900.00
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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.
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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