@inproceedings{60e1673c5cea47caa43256ffae139bfd,
title = "Health prognostic method based on the time series analysis for actuators",
abstract = "The purpose of health prognostic is to predict the future health status of system and determine the time from the current health state to functional failure completely. Application data time series analysis method often can get the expected prediction effect. Taking into account the failure characteristics of the actuators in flight control system, the autoregressive moving average model is introduced to health prognostic. The prognostic model is established. The simulation results show the effectiveness of the algorithm.",
keywords = "Actuator, Autoregressive moving average, Health prognostic, Time series analysis",
author = "Zhang, {Jing Kai} and Juan Wang and Liu, {Xiao Xiong} and Zhang, {Wei Guo}",
year = "2013",
doi = "10.4028/www.scientific.net/AMM.373-375.329",
language = "英语",
isbn = "9783037858066",
series = "Applied Mechanics and Materials",
pages = "329--332",
booktitle = "Mechatronics, Robotics and Automation",
note = "2013 International Conference on Mechatronics, Robotics and Automation, ICMRA 2013 ; Conference date: 13-06-2013 Through 14-06-2013",
}