電動機の軸受振動特性を推論するサロゲートモデルの開発

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  • Surrogate Model Development for Inferring Vibration Characteristics of Motor Bearing

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<p>CAE (Computer Aided Engineering) tools have become indispensable for product design. However, there are problems in reducing the time needed for modelling and numerical calculations, and in making it easy for people without knowledge of CAE to use them for design. Against this background, research on surrogate models that replace CAE with AI models, has progressed in recent years. Surrogate models have the advantage that results can be obtained in a few seconds and can be integrated into larger systems such as 1D-CAE. In this paper, we report the development procedure and the result of evaluating the inference accuracy of a surrogate model that infers the vibration characteristics (natural frequency and eigenmode deformation image) of a motor bearing.</p>

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