Robots, Drones, UAVs and UGVs for Operation and Maintenance

1. Auflage 2020
ISBN: 978-1-138-32211-0
Verlag: Taylor & Francis

Buch, Englisch, 408 Seiten, Format (B × H): 178 mm x 257 mm, Gewicht: 907 g

Reihe: ICT in Asset Management

Industrial assets (such as railway lines, roads, pipelines) are usually huge, span long distances, and can be divided into clusters or segments that provide different levels of functionality subject to different loads, degradations and environmental conditions, and their efficient management is necessary. The aim of the book is to give comprehensive understanding about the use of autonomous vehicles (context of robotics) for the utilization of inspection and maintenance activities in industrial asset management in different accessibility and hazard levels. The usability of deploying inspection vehicles in an autonomous manner is explained with the emphasis on integrating the total process.

Key Features

- Aims for solutions for maintenance and inspection problems provided by robotics, drones, unmanned air vehicles and unmanned ground vehicles

- Discusses integration of autonomous vehicles for inspection and maintenance of industrial assets

- Covers the industrial approach to inspection needs and presents what is needed from the infrastructure end

- Presents the requirements for robot designers to design an autonomous inspection and maintenance system

- Includes practical case studies from industries

Autoren/Hrsg.

Galar, Diego

Kumar, Uday

Seneviratne, Dammika

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
• Technische Wissenschaften Technik Allgemein Industrial Engineering
• Geisteswissenschaften Design Produktdesign, Industriedesign
• Mathematik | Informatik Mathematik Operations Research
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

Preface. Authors. 1. Introduction. 2. Development of Autonomous Vehicles. 3. Distant Inspection Operations for Industrial Assets. 4. Sensors for Autonomous Vehicles in Infrastructure Inspection Applications. 5. Data Acquisition and Intelligent Diagnosis. 6. Three-dimensional Visualization. 7. Communications. 8. Autonomous Vehicles for Infrastructure Inspection Applications. 9. Failure Detection Application in Autonomous Vehicles. 10. Autonomous Inspection and Maintenance with Artificial Intelligent Infiltration. 11. Big Data and Analytics for AV Inspection and Maintenance. Index.

Über Autor(innen)

Diego Galar, Uday Kumar, Dammika Seneviratne