Publication: ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines
ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines
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Eirich, J., Koutroulis, G., Mutlu, B., Jäckle, D., Kern, R., Schreck, T., & Bernard, J. (2022). ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines. IEEE Computer Graphics and Applications, 42(2), 68–80. https://doi.org/10.1109/MCG.2022.3155306
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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 imp
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Eirich, J., Koutroulis, G., Mutlu, B., Jäckle, D., Kern, R., Schreck, T., & Bernard, J. (2022). ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines. IEEE Computer Graphics and Applications, 42(2), 68–80. https://doi.org/10.1109/MCG.2022.3155306