@article{ZHANG2025, 
author = {Zhongwen ZHANG and Chong PENG and Zhongyuan CHE and Jikun WANG},
title = {Servo drive unit reliability modeling with multi-stage degradation data fusion},
year = {2025},
journal = {Journal of Beijing University of Aeronautics and Astronautics},
volume = {51},
number = {2},
pages = {692-704},
keywords = {degradation process, data fusion, Bayesian approach, servo drive unit, reliability modeling},
url = {https://www.sciopen.com/article/10.13700/j.bh.1001-5965.2023.0200},
doi = {10.13700/j.bh.1001-5965.2023.0200},
abstract = {In order to accurately evaluate the reliability of the servo drive unit of a computer numerical control (CNC) system, a reliability modeling method with multi-stage degradation data fusion was proposed. Firstly, by analyzing multiple degradation process models, random effects were introduced, and a reliability model building scheme considering individual differences was given for the characteristics of individual differences existing between different servo drive units. Then, a Bayesian approach was adopted to fuse different degradation data by considering multiple degradation processes, and a reliability model of servo drive units with multi-stage degradation data fusion was established. Moreover, a Markov chain Monte Carlo (MCMC) method was used to complete the model parameter estimation. Finally, a servo drive unit loading test platform was built in the laboratory environment to collect experimental data and verify the validity of the model.}
}