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
Link To Document