|
个人信息Personal Information
教授 博士生导师
毕业院校:南京航空航天大学
学位:工学博士学位
联系方式:yanglin@nuaa.edu.cn
Remaining useful life prediction of ultrasonic motor based on nonlinear stochastic degradation process
点击次数:
影响因子:6.0
DOI码:10.1007/s11071-025-11083-6
所属单位:Nanjing University of Aeronautics and Astronautics
发表刊物:Nonlinear Dynamics
关键字:Parameter estimation; Degradation pattern; Wiener process; Remaining useful life; Ultrasonic motor;
摘要:In this paper, the useful life prediction of traveling wave ultrasonic motors is taken as the research object to explore the estimation method of motor life and analyze the main mechanisms affecting the life of motors. The degradation pattern of motor performance is stochastic and nonlinear, and two modes of remaining useful life prediction models were established based on Wiener process theory. The parameters of the model were estimated based on Maximum Likelihood Estimation and multidimensional search optimization method. The performance of each degradation model was evaluated by introducing Akai Information Criterion and error evaluation method. Through the construction of an ultrasonic motor life test system and the life test, experimental data that can reflect the degradation of motor performance were obtained. The feasibility of the proposed method was verified using simulated signals and experimental datasets of motors. Compared with the existing methods of remaining useful life prediction, the modeling approach proposed has its uniqueness and superiority.
备注:https://link.springer.com/article/10.1007/s11071-025-11083-6
论文类型:期刊论文
学科门类:工学
文献类型:J
卷号:113
页面范围:17997-18015
是否译文:否
发表时间:2025-04-12
收录刊物:SCI、SCIE
合写作者:Zhiyuan Yao,Lin Yang

