New Generation Artificial Intelligence-Driven Diagnosis and Maintenance Techniques
Advanced Machine Learning Models, Methods and Applications
Springer
ISBN 9789819711758
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Hardcover
2024
8 s/w-Abbildungen, 182 Farbabbildungen, Bibliographien.
In englischer Sprache
Umfang: xvii, 349 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 9789819711758
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Smart Sensors, Measurement and Instrumentation; 46
Produktbeschreibung
This book highlights the latest advances and trends in new generation artificial intelligence-driven techniques, including knowledge-driven deep learning, transfer learning, adversarial learning, complex network, graph neural network and multi-source information fusion, for diagnosis and maintenance of rotating machinery. Its primary focus is on the utilization of advanced artificial intelligence techniques to monitor, diagnose, and perform predictive maintenance of critical structures and machines, such as aero-engine, gas turbines, wind turbines, and machine tools.
The main markets of this book include academic and industrial fields, such as academic institutions, libraries of university, industrial research center. This book is essential reading for faculty members of university, graduate students, and industry professionals in the fields of diagnosis and maintenance.
Autorinnen und Autoren
Kundeninformationen
Offers in-depth discussion on the improvement of the accuracy and efficiency of intelligent diagnosis and maintenance Shares many novel tips and insights into intelligent diagnosis and maintenance Includes massive techniques for diagnosis and maintenance, which are from latest generation of artificial intelligence
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