DFX 2021 32nd SYMPOSIUM DESIGN FOR X
Online via Zoom and Tutzing, Germany. 27th and 28th September 2021. DFX 2021 offers young scientists a platform for presenting new ideas and approaches for improving product development.
Knowledge Base Repository
In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
A data model for linking testbed and field test data
Christopher Sauer, Benjamin Schleich, Sandro Wartzack
Type:
Year:
2021
Editor:
Dieter Krause, Kristin Paetzold, Sandro Wartzack
Author:
Series:
DfX
Institution:
Lehrstuhl für Konstruktionstechnik (KTmfk), Friedrich-Alexander-Universität Erlangen-Nürnberg
Section:
Digital Engineering
Page(s):
10
DOI number:
Abstract:
With the help of data-driven methods such as machine learning, the development of the current product generation can be supported and improved through the early use of data from previous products and product generations. For example, machine learning can be used to predict later product behaviour in field tests from testbed data. This can significantly shorten the development time and save expensive field tests. To implement this data provision for the development processes, uniform data models enable the use of data-driven methods and are of central importance. This paper presents a data model using the example of a testbed for electric vehicle transmissions. Here, potentials for a later data-driven prediction of the product behaviour in the field test for the optimisation of the existing development are shown
Keywords:
