Téléchargez le livre : Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems

Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems

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Springer


Paru le : 2023-09-10

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Description
Based on AI and machine learning, this book systematically presents the theories and methods for complex electro-mechanical system fault prognosis, intelligent diagnosis, and health state assessment in modern industry. The book emphasizes feature extraction, incipient fault prediction, fault classification, and degradation assessment, which are based on supervised-, semi-supervised-, manifold-, and deep learning; machinery degradation state tracking and prognosis by phase space reconstruction; and complex electro-mechanical system reliability assessment and health maintenance based on running state info. These theories and methods are integrated with practical industrial applications, which can help the readers get into the field more smoothly and provide an important reference for their study, research, and engineering practice.
Pages
467 pages
Collection
n.c
Parution
2023-09-10
Marque
Springer
EAN papier
9789819935369
EAN PDF
9789819935376
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
46
Taille du fichier
25416 Ko
Prix
168,79 €
EAN EPUB
9789819935376
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
46
Taille du fichier
120330 Ko
Prix
168,79 €

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