@inproceedings{4c8705ca54254a62ae406e84e1878cdc,
title = "A Reliability Evaluation Model for High-Torque Density Motors Based on Markov Chain",
abstract = "In this study, Markov chains are used to divide and model the failure modes of high-torque density motors and obtain a reliability evaluation model for the same. Thermal path method was used to verify the internal stress field of the motor, thereby laying the foundation for reliability evaluation. Furthermore, the changes in motor reliability under different torque densities were investigated. Finally, the optimization method for installing heat pipes and winding sealing is applied to high-torque density motors to enhance their reliability.",
keywords = "Markov Chains, high-torque density motor, mean time to failure, reliability evaluation",
author = "Yiguang Ma and Chengming Zhang and Jiwei Cao and Liyi Li",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023 ; Conference date: 26-08-2023 Through 29-08-2023",
year = "2023",
doi = "10.1109/ICRMS59672.2023.00122",
language = "英语",
series = "Proceedings - 2023 14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "661--667",
editor = "Liming Ren and Wong, \{W. Eric\} and Hailong Cheng and Xiaopeng Li and Shu Wang and Kanglun Liu and Ruifeng Li",
booktitle = "Proceedings - 2023 14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023",
address = "美国",
}