Predicting the Vibroacoustic Quality of Steering Gears

Paul Alexandru Bucur (), Klaus Frick and Philipp Hungerländer
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Paul Alexandru Bucur: Alpen-Adria-Universität Klagenfurt
Klaus Frick: Institute of Computational Engineering, NTB Interstate University of Technology Buchs
Philipp Hungerländer: Alpen-Adria-Universität Klagenfurt

A chapter in Operations Research Proceedings 2018, 2019, pp 309-315 from Springer

Abstract: Abstract In the daily operations of ThyssenKrupp Presta AG, ball nut assemblies (BNA) undergo a vibroacoustical quality test and are binary classified based on their order spectra. In this work we formulate a multiple change point problem and derive optimized quality intervals and thresholds for the order spectra that minimize the number of incorrectly classified BNA. We pursue a multiobjective goal: the first objective function maximizes the Cohen Kappa metric, while the second objective function reduces the number of employed order intervals. The proposed approach is based on a genetic algorithm and incorporates prior information on the correlation structure of BNA and steering gear vibroacoustics, gained via canonical correlation analysis. The computational experiments show a reduction of both the number of employed order intervals and the costs arising from falsely classified BNA parts with respect to the current production setting, ensuring thus a high practical relevance of our suggested approach.

Keywords: Ball nut assemblies; Vibroacoustical quality test; Multiple change point problem; Genetic algorithm (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-030-18500-8_39

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DOI: 10.1007/978-3-030-18500-8_39

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