PREVIS - A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control

نویسندگان

چکیده

We present PREVIS, a visual analytics tool, enhancing machine learning performance analysis in engineering applications. The presented toolchain allows for direct comparison of regression models. In addition, we provide methodology to visualize the impact errors on underlying field interest original domain, part geometry, via exploiting standard interpolation methods. Further, allow real-time preview user-driven parameter changes displacement interpolation. This fast and accountable online change management. demonstrate effectiveness with an ex-ante optimization automotive engine hood.

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ژورنال

عنوان ژورنال: Procedia CIRP

سال: 2022

ISSN: ['2212-8271']

DOI: https://doi.org/10.1016/j.procir.2022.09.053