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ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines

Eirich, Joscha; Koutroulis, Georgios; Mutlu, Belgin; Jäckle, Dominik; Kern, Roman; Schreck, Tobias; Bernard, Jürgen (2022). ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines. IEEE computer graphics and applications, 42(2):68-80.

Abstract

Electrical engines are a key technology all automotive manufacturers must master to stay competitive. Engineers need to analyze an overwhelming number of engine measurements to improve the manufacturing for this technology. They are hindered in the task of analyzing large numbers of engines, however, by the following challenges: 1) Engines comprise a complex hierarchical structure of subcomponents. 2) Locating the cause of errors along manufacturing processes is a difficult procedure. 3) Large numbers of heterogeneous measurements impair the ability to explain errors in engines. We address these challenges in a design study with automotive engineers and by developing the visual analytics system Manufacturing Explorer (ManEx), which provides interactive interfaces to analyze measurements of engines across the manufacturing process. ManEx was validated by five experts. Our results suggest high usability and usefulness scores and the improvement of a real-world manufacturing process. Specifically, with ManEx, experts reduced scraped parts by over 3%.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
08 Research Priority Programs > Digital Society Initiative
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Computer Graphics and Computer-Aided Design
Scope:Discipline-based scholarship (basic research)
Language:English
Date:2022
Deposited On:03 Feb 2023 11:07
Last Modified:25 Feb 2025 02:44
Publisher:Institute of Electrical and Electronics Engineers
ISSN:0272-1716
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/MCG.2022.3155306
Other Identification Number:merlin-id:23093

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