Robots, Drones, UAVs and UGVs for Operation and Maintenance

Title: Robots, Drones, UAVs and UGVs for Operation and Maintenance
Author: , , Dammika Seneviratne
ISBN: 1138322113 / 9781138322110
Format: Hard Cover
Pages: 408
Publisher: CRC Press
Year: 2020
Availability: 2 to 3 weeks

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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

Tab Article

Preface

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

Index