Data analysis and error detection in assembly lines using a three-dimensional visualization technique

Sand C, Schuh P, Lechler T, Franke J (2017)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Pages Range: 1-6

Conference Proceedings Title: 2017 7th International Electric Drives Production Conference (EDPC)

DOI: 10.1109/EDPC.2017.8328167

Abstract

Usually, specific parameter ranges or tolerances are used to evaluate the quality of a process in serial production and especially in assembly processes [1]. Despite met tolerances along the whole assembly process, defective parts are produced due to malicious process parameter combinations. This paper presents a novel three- dimensional visualization technique to analyze and evaluate data from assembly processes and quality measurements in actuator manufacturing. It reveals correlations between process, energy and quality data in order to identify events which influence the quality of the final good.

Authors with CRIS profile

Christian Sand Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Patricia Schuh Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Tobias Lechler Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik

How to cite

APA:

Sand, C., Schuh, P., Lechler, T., & Franke, J. (2017). Data analysis and error detection in assembly lines using a three-dimensional visualization technique. In 2017 7th International Electric Drives Production Conference (EDPC) (pp. 1-6).

MLA:

Sand, Christian, et al. "Data analysis and error detection in assembly lines using a three-dimensional visualization technique." Proceedings of the 2017 7th International Electric Drives Production Conference (EDPC) 2017. 1-6.

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