Smart Diagnostics and Predictive Maintenance

Buch | Hardcover

286 Seiten

2026
Springer Verlag, Singapore
978-981-95-3920-8 (ISBN)

Titel nicht im Sortiment

Artikel merken

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.

Dr. Aydin Azizi holds a Ph.D. in Mechanical Engineering. Certified as an official instructor for the Siemens Mechatronic Certification Program (SMSCP), he currently serves as a senior lecturer at the Oxford Brookes University. His current research focuses on investigating and developing novel techniques to model, control, and optimize complex systems. Dr. Azizi’s areas of expertise include control and automation, artificial intelligence, and simulation techniques.

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.

Erscheinungsdatum	29.11.2025
Reihe/Serie	Emerging Trends in Mechatronics
Zusatzinfo	145 Illustrations, color; 22 Illustrations, black and white
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Schlagworte	AI-Driven Responses • Autonomous Solar Panel Cleaning Robot • Data-Driven Predictive Maintenance • Dual-phase Petroleum Fluids • Fault Diagnosis • Human-Robot Integration • impaired driving • Rotary Inverted Pendulum
ISBN-10	981-95-3920-X / 981953920X
ISBN-13	978-981-95-3920-8 / 9789819539208
Zustand	Neuware