Yang Lin
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- Professor
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (English):Yang Lin
- Name (Pinyin):YangLin
- School/Department:College of Aerospace Engineering
- Business Address:9-518, Ming Palace Museum Campus Arts Center 104b, Jiangjun Road Campus
- Contact Information:yanglin@nuaa.edu.cn 13601457730
- Degree:Doctoral Degree in Engineering
- Professional Title:Professor
- Alma Mater:Nanjing University of Aeronautics and Astronautics
- Teacher College:College of Aerospace Engineering
Contact Information
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- Paper Publications
Remaining useful life prediction of ultrasonic motor based on nonlinear stochastic degradation process
Release time:2025-11-22 Hits:
- Impact Factor:6.0
- DOI number:10.1007/s11071-025-11083-6
- Affiliation of Author(s):Nanjing University of Aeronautics and Astronautics
- Journal:Nonlinear Dynamics
- Key Words:Parameter estimation; Degradation pattern; Wiener process; Remaining useful life; Ultrasonic motor;
- Abstract: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.
- Note:https://link.springer.com/article/10.1007/s11071-025-11083-6
- Indexed by:Journal paper
- Discipline:Engineering
- Document Type:J
- Volume:113
- Page Number:17997-18015
- Translation or Not:no
- Date of Publication:2025-04-12
- Included Journals:SCI、SCIE
- Co-author:Zhiyuan Yao,Lin Yang
- First Author:Yuepeng Gao
