A Finite Element Model of an Electric Motor with an Unbalanced Rotor for Vibration Data Generation

Author:

Lee Hyunseung,Son Seho,Jeong Dayeon,Sun Kyung Ho,Jeon Byeong Chan,Oh Ki-Yong

Abstract

This study proposes a high-fidelity model designed to generate vibration data for an electric motor coupled with an unbalanced rotor. The model predicts vibration response at the motor structure under the rotor fault condition using finite element analysis. First, an electromagnetic model of a permanent magnet synchronous motor (PMSM) is used to compute the electromagnetic forces affecting both rotor and stator responses. Second, a rotor dynamic model predicts the responses of the rotor considering electromagnetic and unbalanced effects. Finally, the structural response is obtained using a 3D structural PMSM model that integrates electromagnetic and rotor dynamic inputs. Consequently, the combined electromagnetic, rotor dynamic, and structural responses can be predicted with the proposed model. The predicted responses were compared with the measurement data obtained from PMSM vibration experiments to validate the model’s accuracy. The results demonstrated that the proposed model effectively replicates the actual responses of an electric motor, especially when connected to an external unbalanced rotor. This high-fidelity model holds significant potential to augment traditional condition monitoring techniques for rotating machinery.

Funder

National Research Foundation of Korea

Ministry of Science and ICT

Korea Institute of Machinery and Materials

Publisher

International Journal of Precision Engineering and Manufacturing-Smart Technology of Korean Society for Precision Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Physics-informed neural network: principles and applications;Recent Advances in Neuromorphic Computing [Working Title];2024-07-30

2. Study on the Mechanism of the Influence of Passenger Load on the Vibration Characteristics of Railway Vehicles Based on Modal Characteristics;International Journal of Precision Engineering and Manufacturing;2024-07-03

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