rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Robots, drones, UAVs and UGVs for operation and maintenance
  name:
    name part: Galar, Diego
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Kumar, Uday
    role:
      role term: author.
  name:
    name part: Seneviratne, Dammika
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: 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
  note: Diego Galar, Uday Kumar and Dammika Seneviratne.
  note: Includes bibliographical references and index.
  note: Dr. Diego Galar is Full Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, Lule ̄University of Technology where he is coordinating several H2020 projects related to different aspects of cyber physical systems, Industry 4.0, IoT or Industrial AI and Big Data. He was also involved in the SKF UTC centre located in Lulea focused on SMART bearings and also actively involved in national projects with the Swedish industry or funded by Swedish national agencies like Vinnova. He is also principal researcher in Tecnalia (Spain), heading the Maintenance and Reliability research group within the Division of Industry and Transport. He has authored more than five hundred journal and conference papers, books and technical reports in the field of maintenance, working also as member of editorial boards, scientific committees and chairing international journals and conferences and actively participating in national and international committees for standardization and R&D in the topics of reliability and maintenance. In the international arena, he has been visiting Professor in the Polytechnic of Braganza (Portugal), University of Valencia and NIU (USA) and the Universidad Pontificia Católica de Chile. Currently, he is visiting professor in University of Sunderland (UK), University of Maryland (USA), and Chongqing University in China. Uday Kumar, the Chaired Professor of Operation and Maintenance Engineering is Director of Lule ̄Railway Research Center and Scientific Director of the Strategic Area of Research and Innovation- Sustainable Transport at Lule ̄University of Technology, Lule,̄ Sweden. Before joining Lule ̄University of Technology, Dr. Kumar was Professor of Offshore Technology (Operation and Maintenance Engineering) at Stavanger University, Norway. Professor Kumar has research interest in the subject area of Reliability and Maintainability Engineering, Maintenance modelling, Condition Monitoring, LCC & Risk analysis etc. He ha…
  subject:
    topic: Maintenance
  subject:
    topic: Engineering inspection
  subject:
    topic: Automated vehicles
    topic: Industrial applications
  subject:
    topic: Maintenance
  subject:
    topic: Entretien
  subject:
    topic: Contrôle technique
  subject:
    topic: Véhicules autonomes
    topic: Applications industrielles
  subject:
    topic: maintenance
  subject:
    topic: TECHNOLOGY
    topic: Electricity
  subject:
    topic: TECHNOLOGY
    topic: Engineering
    topic: Industrial
  subject:
    topic: TECHNOLOGY
    topic: Manufacturing
  subject:
    topic: Engineering inspection
  subject:
    topic: Maintenance
  classification: TS174 .R63 2020
  classification: 620.0046
  related item:
    title info:
      title: ICT in asset management
  related item:
    title info:
      title: ROBOTS, DRONES, UAVS AND UGVS FOR OPERATION AND MAINTENANCE
    name:
      name part: GALAR, DIEGO. SENEVIRATNE, DAMMIKA.
    origin info:
      publisher: [Place of publication not identified] : CRC PRESS, 2020
    identifier: (OCoLC)1124505519
  identifier: 9780429452260
  identifier: 0429452268
  identifier: 9780429839184
  identifier: 0429839189
  identifier: 9780429839177
  identifier: 0429839170
  identifier: 9780429839160
  identifier: 0429839162
  identifier: 1138322113
  identifier: 9781138322110
  identifier: 9780429452260 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: TYFRS
    record creation date: 200512
    record change date: 20241108165817.1
    record identifier: in00005522657
    language of cataloging:
      language term: eng