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- 7.000.000 titres dans notre catalogue
- Payer en toute sécurité
- Toujours un magasin près de chez vous
Intelligent Prognostics for Engineering Systems with Machine Learning Techniques
228,95 €
+ 457 points
Description
The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, electrical engineering, and computer science.
The book
- Discusses basic as well as advance research in the field of prognostics
- Explores integration of data collection, fault detection, degradation modeling and reliability prediction in one volume
- Covers prognostics and health management (PHM) of engineering systems
- Discusses latest approaches in the field of prognostics based on machine learning
The text deals with tools and techniques used to predict/ extrapolate/ forecast the process behavior, based on current health state assessment and future operating conditions with the help of Machine learning. It will serve as a useful reference text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, manufacturing science, electrical engineering, and computer science.
Spécifications
Parties prenantes
- Editeur:
Contenu
- Nombre de pages :
- 246
- Langue:
- Anglais
- Collection :
Caractéristiques
- EAN:
- 9781032054360
- Date de parution :
- 22-09-23
- Format:
- Livre relié
- Format numérique:
- Genaaid
- Dimensions :
- 156 mm x 234 mm
- Poids :
- 544 g
