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Record Nr. |
UNINA9911049164003321 |
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Autore |
Azizi Aydin |
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Titolo |
Smart Diagnostics and Predictive Maintenance / / edited by Aydin Azizi |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (315 pages) |
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Collana |
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Emerging Trends in Mechatronics, , 2731-4863 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Automatic control |
Robotics |
Automation |
Artificial intelligence |
Control, Robotics, Automation |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Fault Diagnosis of a Vehicle Cylinder Head, an AI Approach -- Development of a Data-Driven Predictive Maintenance Framework for Centrifugal Pumps -- Parameter Identification of Empirical Models for Head Estimation of Electrical Submersible Pumps used for Dual-phase Petroleum Fluids -- Design and Development of an Autonomous Solar Panel Cleaning Robot to Enhance Photovoltaic Efficiency -- Interactive Human-Robot Integration: Enhancing Communication and Movement with AI-Driven Responses -- Road Guardian: A Technology for Preventing Impaired Driving -- Genetic Algorithm Based Stabilization of Rotary Inverted Pendulum by State Feedback. |
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Sommario/riassunto |
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This book compiles cutting-edge research and practical innovations in the field of mechatronic systems, particularly focusing on smart diagnostics and predictive maintenance. It addresses both theoretical foundations and real-world applications, ranging from artificial intelligence to diagnostics, robotics, and control strategies. This book offers a substantial contribution to the academic and engineering community, fostering future advancements and collaborative research opportunities. |
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