Digital twins for electro-mechanical systems

机电系统的数字孪生

• 批准号: 567790-2021
• 负责人: Pahlevaninezhad, Majid
• 金额: $ 2.19万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=723686
• 关键词: Digital; twins; electro; mechanical; systems

The objective of this project is to develop "Digital Twin" for electro-mechanical systems. The "Digital Twin" will provide Stress-Life-Failure models and can precisely predict the weak points of the designed system before prototyping and mass production. Electro-mechanical systems such as electric machines are very complex, and their lifetime modeling presents substantial challenges. There are many state variables and parameters involved in the modeling that are highly correlated and have complicated nonlinear dynamics. Kepstrum has successfully applied the concept of "Digital Twin" to mechanical systems. This project aims to further expand the concept of "Digital Twin" to electro-mechanical systems such as electric motors.

该项目的目标是为机电系统开发“数字孪生”。“数字孪生”将提供应力-寿命-故障模型，并可以在原型设计和大规模生产之前精确预测设计系统的弱点。机电系统，如电机是非常复杂的，其寿命建模提出了重大挑战。建模过程中涉及的状态变量和参数很多，且相互关联，具有复杂的非线性动态特性。Kepstrum成功地将“数字孪生”的概念应用于机械系统。该项目旨在将“数字孪生”概念进一步扩展到电动机等机电系统。