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- Retrait gratuit dans votre magasin Club
- 7.000.000 titres dans notre catalogue
- Payer en toute sécurité
- Toujours un magasin près de chez vous
Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems
Yaguo Lei, Naipeng Li, Xiang Li
Livre broché | Anglais
167,95 €
+ 335 points
Format
Description
This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical systems. The recent research results on deep transfer learning-based fault diagnosis, data-model fusion remaining useful life (RUL) prediction, etc., are focused on in the book. The contents are valuable and interesting to attract academic researchers, practitioners, and students in the field of prognostics and health management (PHM). Essential guidelines are provided for readers to understand, explore, and implement the presented methodologies, which promote further development of PHM in the big data era.
Features:
- Addresses the critical challenges in the field of PHM at present
- Presents both fundamental and cutting-edge research theories on intelligent fault diagnosis and prognosis
- Provides abundant experimental validations and engineering cases of the presented methodologies
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 281
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9789811691331
- Date de parution :
- 21-10-23
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 156 mm x 234 mm
- Poids :
- 417 g
