Overview

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

Full Product Details

Author:   Diego Galar (Luleå University of Technology, Sweden) ,  Uday Kumar ,  Dammika Seneviratne (TECNALIA Research & Innovation, Spain)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.907kg
ISBN:  

9781138322110

ISBN 10:   1138322113
Pages:   398
Publication Date:   20 May 2020
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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.

Reviews

Author Information

Diego Galar, Uday Kumar, Dammika Seneviratne

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions