Health Prognostic Method Based on the Time Series Analysis for Actuators

Jing Kai Zhang; Juan Wang; Xiao Xiong Liu; Wei Guo Zhang

doi:10.4028/www.scientific.net/AMM.373-375.329

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 373-375Health Prognostic Method Based on the Time Series...

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.

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Periodical:

Applied Mechanics and Materials (Volumes 373-375)

Pages:

329-332

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.373-375.329

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Online since:

August 2013

Authors:

Jing Kai Zhang, Juan Wang, Xiao Xiong Liu, Wei Guo Zhang

Keywords:

Actuator, Autoregressive Moving Average, Health Prognostic, Time Series Analysis

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