Abstract
Building automotive transmissions is a complex industrial process with high capacity and value. They transmissions are evaluated on test stands simulating vehicle-driving conditions. Using an NVH analysis of the generated vibration, production defects and vehicle noise comfort issues are identified. The presented real-time analysis provides quality parameters assessed by a combination of machine-learned and user-defined limits.
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Lewien, T., Slimak, I., Püschel, P. (2020). The Acoustic Test System for Transmissions in the VW Group. In: Beyerer, J., Maier, A., Niggemann, O. (eds) Machine Learning for Cyber Physical Systems. Technologien für die intelligente Automation, vol 11. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-59084-3_10
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DOI: https://doi.org/10.1007/978-3-662-59084-3_10
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Publisher Name: Springer Vieweg, Berlin, Heidelberg
Print ISBN: 978-3-662-59083-6
Online ISBN: 978-3-662-59084-3
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