Dataflow-based Visual Analysis for Fault Diagnosis and Predictive Maintenance in Manufacturing

Wörner, M.; Metzger, M.; T.Ertl,

Dataflow-based Visual Analysis for Fault Diagnosis and Predictive Maintenance in Manufacturing

Files

055-059.pdf (413 KB)

Date

2013

Authors

Wörner, M.
Metzger, M.
T.Ertl,

Publisher

The Eurographics Association

Abstract

Predictive machine maintenance, which monitors the current condition of a machine, can be much more efficient than maintaining it on a strict schedule or only as a reaction to actual breakdowns. Although sophisticated theoretical models exist, these are not always employed in practice, presumably in part due to their abstract nature. Introducing interactive visualization into the analysis process may facilitate the adoption of predictive maintenance. We apply a dataflow-based visual analytics approach to the analysis of diagnostic machine data on a real-world dataset and collect feedback from domain experts.

        @inproceedings{:10.2312/PE.EuroVAST.EuroVA13.055-059
,
booktitle = {EuroVis Workshop on Visual Analytics
},
editor = {M. Pohl and H. Schumann
},
title = {{Dataflow-based Visual Analysis for Fault Diagnosis and Predictive Maintenance in Manufacturing
}},
author = {Wörner, M. and 
Metzger, M. and 
T.Ertl,
},
year = {2013
},
publisher = {The Eurographics Association
},
ISBN = {978-3-905674-55-2
},
DOI = {/10.2312/PE.EuroVAST.EuroVA13.055-059
}
}