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Robots, Drones, UAVs and UGVs for Operation and Maintenance by Diego Galar: New

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Book Title
Robots, Drones, UAVs and UGVs for Operation and Maintenance
Publication Date
2020-05-20
Pages
398
ISBN
9781138322110

Über dieses Produkt

Product Identifiers

Publisher
Taylor & Francis Group
ISBN-10
1138322113
ISBN-13
9781138322110
eBay Product ID (ePID)
28038696677

Product Key Features

Number of Pages
398 Pages
Language
English
Publication Name
Robots, Drones, Uavs and Ugvs for Operation and Maintenance
Publication Year
2020
Subject
Industrial Engineering, Manufacturing, Electrical
Type
Textbook
Subject Area
Technology & Engineering
Author
Dammika Seneviratne, Diego Galar, Uday Kumar
Series
Ict in Asset Management Ser.
Format
Hardcover

Dimensions

Item Length
10 in
Item Width
7 in

Additional Product Features

Intended Audience
College Audience
Illustrated
Yes
Table Of Content
Chapter 1 Introduction 1.1 Autonomous Vehicles 1.2 Industrial Assets 1.3 Inspection of Industrial Assets 1.4 Maintenance of Industrial Assets References Chapter 2 Development of Autonomous Vehicles 2.1 History of development of Autonomous robots 2.2 Dynamics and Machine Architectures 2.3 Robots and Machine Intelligence 2.4 Programming of Autonomous Robots 2.5 Adaptive Algorithms and Utilization Chapter 3 Distant Inspection Operations for industrial Assets 3.1 Autonomous Vehicle Inspection Platform 3.2 Inspection Communications and Transport Security 3.3 Obstacle Avoidance 3.4 Inspection Modes and Content 3.5 Inspection Methods References Chapter 4 Sensors for Autonomous Vehicles in Infrastructure Inspection Applications 4.1 Sensors and sensing strategies 4.2 Sensor types: introduction 4.3 Sensors for military missions 4.4 Sensor-based localization and mapping 4.5 Sensor fusion, sensor platforms and Global Positioning System References Chapter 5 Data acquisition and intelligent diagnosis 3.1 Data acquisition principle and process for laser scanning, visual imaging, infrared imaging, UV image 5.2 Cloud data post-processing technology 5.3 Cloud data intelligent diagnosis References Chapter 6 Inspection expert diagnosis and three-dimensional visualization 6.1 Overview 6.2 Line security diagnosis for multi-source data fusion 6.3 Three-dimensonal visualization applications References Chapter 7 Communications 7.1 Communication Methods 7.2 Radio Communication 7.3 Mid-Air Collision (MAC) Avoidance 7.4 Communications Data Rate and Bandwidth Usage 7.5 Antenna Types 7.6 Tracking with Multiple Autonomous Vehicles References Chapter 8 Autonomous vehicles for infrastructure inspection applications 8.1 Power Line Inspection 8.2 Building Monitoring 8.3 Railway Infrastructure Inspection 8.4 Waterways and Other Infrastructures References Chapter 9 Critical Failure Detection Application In Autonomous Vehicles 9.1 Repeated Inspections and Failure Identification 9.2 Autonomous Vehicle Emergency Inspection Applications 9.3 Autonomous Vehicle Navigation Security References Chapter 10 Autonomous inspection and maintenance with artificial intelligent infiltration 10.1 Artificial Intelligent Techniques Used in AVs 10.2 Artificial Intelligent Approaches for Inspection and Maintenance 10.3 Current developments of AVs with AI References Chapter 11 Big Data and Analytics for AV Inspection and maintenance 11.1 Big Data Analytics and Cyber-Physical Systems 11.2 Big Data Analytics in Inspection and Maintenance 11.3 Integration of Big Data Analytics in AV Inspection and Maintenance 11.4 Utilization of AVs in Industry 4.0 Environment References
Synopsis
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, 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.

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