@inproceedings{bf08d9b9d9ee425fa8623745b172a032,
title = "Research on prognostics of dynamically tuned gyroscope storage life",
abstract = "The storage life of dynamically tuned gyroscope (DTG) widely used in the field of guidance, navigation and control (GNC) is an important index for its military application. Aiming at this issue, the step-down-stress accelerated life testing (SDS-ALT) is implemented to test the DTG to get statistical and degradation data for its characteristics of long life and high reliability. A three-step analysis method is developed to establish Arrhenius accelerated model by using statistical data. Then, degradation data at higher stress can be converted to those at normal stress by data conversion formula. A new individual-based prognostic algorithm, named the path classification and estimation (PACE) model, which is entirely based on the converted degradation data, has been developed to predict remaining storage life estimation of DTG. Using the degradation data of SDS-ALT, the remaining storage life of DTG is evaluated. The evaluated results show that the model has higher prediction accuracy and smaller variance especially for small sample condition.",
keywords = "Degradation data, Dynamically tuned gyroscope, PACE algorithm, Remaining storage life, Small sample",
author = "Yuxiong Pan and Qingdong Li and Zhang Ren",
year = "2013",
doi = "10.1007/978-3-642-38460-8\_36",
language = "英语",
isbn = "9783642384592",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "325--332",
booktitle = "Proceedings of 2013 Chinese Intelligent Automation Conference - Intelligent Automation and Intelligent Technology and Systems",
address = "德国",
note = "2013 Chinese Intelligent Automation Conference, CIAC 2013 ; Conference date: 23-08-2013 Through 25-08-2013",
}