Sprache: Englisch
Verlag: Springer, Springer Nature Singapore, 2023
ISBN 10: 9819935369 ISBN 13: 9789819935369
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 254,36
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 478 pages. 9.25x6.10x1.14 inches. In Stock.