@inproceedings{abc03b2f543e4606b0c634347d670819,
title = "Sensitivity Analysis and Reliability Optimization Method Based on Aircraft Cabin Door Lock Mechanism",
abstract = "With the gradual development of industrialization, the reliability engineering requirements of products are gradually increasing. The characteristics of high reliability and small number of samples are especially important within the aerospace field. In order to improve the reliability of the aircraft hatch lock mechanism, this paper combines support vector machine and kriging methods for failure rate calculation and sensitivity analysis, and uses Monte Carlo methods for validation. The reliability optimization is carried out through the validation results, and the design of the lock mechanism is improved, which significantly reduces the failure rate of the lock mechanism and also provides design ideas for other mechanical structures.",
keywords = "Monte Carlo, aircraft lock mechanism, kriging method, reliability optimization, support vector machine",
author = "Deyin Jiang and Weimin Cui and Fangyi Wan and Yajie Han and Xue Wang and Chengze Jiang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022 ; Conference date: 13-10-2022 Through 16-10-2022",
year = "2022",
doi = "10.1109/PHM-Yantai55411.2022.9941892",
language = "英语",
series = "2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Wei Guo and Steven Li",
booktitle = "2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022",
}