Xiaoli Zhang – författare
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4 produkter
4 produkter
E-bok
Franska, 2025306 kr
Läs direkt efter köp
Chaque chapitre debute par une petite histoire, un texte en chinois mandarin.Puis tout autour de ce texte, va se developper un bagage pedagogique complet. On y retrouve :du vocabulaire ;des exercices de comprehension sur le texte ;des expressions typiques ;des points de grammaire ;des exercices d'application.L'auteur met egalement en avant des elements culturels chinois. Des fichiers audios sont proposes pour permettre aux lecteurs d'ecouter les differentes histoires.
Inbunden, Engelska, 2023
1 723 kr
Skickas inom 10-15 vardagar
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.
E-bok
Engelska, 20232 215 kr
Läs direkt efter köp
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.
Häftad, Engelska, 2024
1 723 kr
Skickas inom 10-15 vardagar
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.