Robust Design and Mechanism Elucidation for Three-Cylinder Engine Idling Vibration Using Machine Learning in Multi-Dimensional Design Space Analysis
機械学習により得られた多次元設計空間の分析による3気筒エンジンのアイドル振動のロバスト化とメカニズムの解明
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20265017
- Paper/Info type
- Proceedings (Spring)
No.4-26
- Pages
- 1-6(Total 6 p)
- Date of publication
- May 2026
- Publisher
- JSAE
- Language
- Japanese
- Event
- 2026 JSAE Annual Congress (Spring)
Detailed Information
| Author(J) | 1) 山本 和志, 2) Victor Picheny, 3) Qi Qi |
|---|---|
| Author(E) | 1) Kazuyuki Yamamoto, 2) Victor Picheny, 3) Qi Qi |
| Affiliation(J) | 1) Secondmind, 2) Secondmind, 3) Secondmind |
| Affiliation(E) | 1) Secondmind, 2) Secondmind, 3) Secondmind |
| Abstract(J) | 機械学習による予測モデルを用いて，主要部品の製造ばらつきを含めて，3気筒エンジンのアイドル振動目標を満足するロバストな設計仕様を導出した．さらに，可視化された多次元空間における設計変数間の相関関係を分析することで，3気筒エンジンのアイドル振動の設計指針の確立に資する新たな工学的な知見を得た． Translation |
| Abstract(E) | Using a machine learning prediction model, we derived robust design specifications that satisfy the idling vibration target of a three-cylinder engine, taking into account the manufacturing variations of key components. Furthermore, by analyzing the correlations between design variables in the visualized multi-dimensional design space, we obtained new engineering insights that contribute to establishing new design guidelines for the three-cylinder engine's idling vibration. |
