@inproceedings{d2de8a9f438f480697cb977c3e3214db,
title = "A storage reliability evaluation method of gyroscope based on probability density evolution",
abstract = "In the storage reliability evaluation, storage equipment is typically evaluated by stored data or accelerated test data. But the effect of component degradation on system degradation is not considered in depth. A storage reliability evaluation method based on probability density evolution is proposed from the point of view of the component in this paper. This method does not need to discretize the state of the output performance parameters of the system and can establish the continuous probability density function of the system output performance parameters. In this paper, the gyroscope is taken as an example, and this method is used to assess its storage reliability. In the conditions to ensure the accuracy of the calculation, the efficiency of the method compared with Monte Carlo simulation is significantly improved, and the feasibility of the method is demonstrated.",
keywords = "degradation, gyroscope storage, Monte Carlo, probability density evolution, reliability evaluation",
author = "Ge Jiang and Hongjie Yuan and Jing Xia and Peichang Li",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd International Conference on Reliability Systems Engineering, ICRSE 2017 ; Conference date: 10-07-2017 Through 12-07-2017",
year = "2017",
month = sep,
day = "8",
doi = "10.1109/ICRSE.2017.8030745",
language = "英语",
series = "2017 2nd International Conference on Reliability Systems Engineering, ICRSE 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Dongming Fan and Jun Yang and Ziyao Wang and Tingdi Zhao",
booktitle = "2017 2nd International Conference on Reliability Systems Engineering, ICRSE 2017",
address = "美国",
}