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.
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Location: Hillsdale, NSW
End Time: 2024-12-16T21:13:58.000Z
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EAN: 9780323999892
UPC: 9780323999892
ISBN: 9780323999892
MPN: N/A
Format: Paperback, 312 pages
Author: Ruqiang Yan
Book Title: Transfer Learning for Rotary Machine Fault Diagnos
Item Height: 2.63 cm
Item Length: 22.9 cm
Item Weight: 0.5 kg
Item Width: 15.2 cm
Language: Eng
Publisher: Elsevier - Health Sciences Division