Téléchargez le livre : Prognostics and Health Management of Electronics

Prognostics and Health Management of Electronics

Fundamentals, Machine Learning, and the Internet of Things de

,

Éditeur :

Wiley-IEEE Press


Collection :

IEEE Press

Paru le : 2018-08-21

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Description

An indispensable guide for engineers and data scientists in design, testing, operation, manufacturing, and maintenance
A road map to the current challenges and available opportunities for the research and development of Prognostics and Health Management (PHM), this important work covers all areas of electronics and explains how to: assess methods for damage estimation of components and systems due to field loading conditions assess the cost and benefits of prognostic implementations  develop novel methods for in situ monitoring of products and systems in actual life-cycle conditions enable condition-based (predictive) maintenance increase system availability through an extension of maintenance cycles and/or timely repair actions; obtain knowledge of load history for future design, qualification, and root cause analysis reduce the occurrence of no fault found (NFF)  subtract life-cycle costs of equipment from reduction in inspection costs, downtime, and inventory 
Prognostics and Health Management of Electronics also explains how to understand statistical techniques and machine learning methods used for diagnostics and prognostics. Using this valuable resource, electrical engineers, data scientists, and design engineers will be able to fully grasp the synergy between IoT, machine learning, and risk assessment. 
Pages
800 pages
Collection
IEEE Press
Parution
2018-08-21
Marque
Wiley-IEEE Press
EAN papier
9781119515333
EAN PDF
9781119515302
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
800
Taille du fichier
24392 Ko
Prix
165,58 €
EAN EPUB
9781119515357
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
800
Taille du fichier
35123 Ko
Prix
165,58 €

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