• DocumentCode
    3674144
  • Title

    Fault diagnosis of automated systems using mobile devices

  • Author

    Andreas Friedrich;Peter Göhner

  • Author_Institution
    University of Stuttgart, Institute of Industrial Automation and Software Engineering, Germany
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Computer-based fault diagnosis systems are normally designed for system experts. This necessitates involvement of trained experts in the maintenance and repair process, despite the severity of the underlying fault. In many cases, particularly in the domain of home appliances, this leads to avoidable time and material costs - both for home users and manufacturer. In this paper a user-friendly diagnosis system is introduced. It is based on a mobile device, such as a smartphone, which will be extended by a diagnosis app. The mobile diagnosis solution is able to connect to automated systems and perform fault diagnosis. Furthermore, it presents different immediate proposals to solve the problem, without involving technical experts. The proposed solution provides a customized diagnosis framework to support systematic and facile generation of diagnosis mobile application. Furthermore, it is described how to employ existing app generator frameworks to supply the diagnosis app for multiple target platforms.
  • Keywords
    "Fault diagnosis","Maintenance engineering","Mobile communication","Mobile handsets","Operating systems","Knowledge based systems","Sensors"
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on
  • Type

    conf

  • DOI
    10.1109/ETFA.2015.7301524
  • Filename
    7301524