@inproceedings{3e63d7efe01441028a0dd38cec877319,
title = "Bayesian network-based importance analysis of hydraulic winches",
abstract = "With the continuous development of the world's oceans, hydraulic winches have been widely used, in order to quickly and accurately determine the weak link of hydraulic winches to improve the reliability of hydraulic winches, this paper proposes a bayesian network-based hydraulic winch importance analysis method. Firstly, the bayesian network of hydraulic winches is established according to the working principle and reliability analysis of hydraulic winches, and then the probability of node occurrence is calculated by using the common life distribution of electromechanical products. In order to verify the accuracy of this method, the results obtained using the proposed method in this paper were compared with those obtained from Griffith importance analysis, and the method was proved to be feasible.",
keywords = "bayesian network, hydraulic winches, importance, reliability",
author = "Xiaochuan Duan and Shaoping Wang and Chao Zhang",
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-Yantai55411.2022.9942117",
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",
address = "美国",
}