App-based System Diagnostics using Mobile Information Systems
Research output: Contribution to conferences › Paper › Contributed › peer-review
Contributors
Abstract
This paper presents a study of the potential of integrated services for app-based system diagnosis using mobile information systems. First, a task and context analysis is provided for the application of integrated system diagnosis in the context of plant asset management (PAM). Second, exemplary scenarios are presented which demonstrate IT services for system analysis based on self-organizing maps, system diagnosis with a graph-based approach and support for therapeutic measures on defective assets. Third, a mobile information system is presented that allows users to list, describe, filter, and select assets, to browse through available diagnoses, and to follow step-by-step instructions for recommended therapeutic measures. The mobile information system provides a graphical representation, description, and selection of assets by using a P&I diagram as well as a chart visualization of process values. The system further provides access to both static and transient data sources such as engineering data of the plant, process data of the technical process and the results of complex analysis services. This mobile information system demonstrates the suitability of the proposed app-based approach. Finally, the results of a focus group workshop are summarized, showing the potential of mobile information systems in an industrial setting, barriers that still remain.
Details
Original language | English |
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Pages | 1-8 |
Number of pages | 8 |
Publication status | Published - 2014 |
Peer-reviewed | Yes |
Conference
Title | 2014 19th IEEE International Conference on Emerging Technologies and Factory Automation |
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Abbreviated title | ETFA 2014 |
Conference number | 19 |
Duration | 16 - 19 September 2014 |
Website | |
Degree of recognition | International event |
Location | Universitat Politècnica de Catalunya |
City | Barcelona |
Country | Spain |
External IDs
ORCID | /0000-0001-5165-4459/work/142248281 |
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Scopus | 84946691278 |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
Sustainable Development Goals
Keywords
- Mobile Information