Exploration on failure diagnosis of the electrostatic suspended gyro

Author

Hong, Jiang ; Youtang, Yang ; Weiqin, Yang

Author_Institution

Grad. Dept., China Univ. of Mining Technol., Beijing, China

Volume

33

Issue

1

fYear

1997

Firstpage

319

Lastpage

322

Abstract

Based on the conception of optimum estimation and AIC criterion, the time-varying coefficient autoregressive (AR) model is established for the random drift rate of the electrostatic suspended gyro (ESG) by recursive algorithm. The time-varying coefficient with its canonical standard error and mode´s residual variance are then discussed. According to the variant of the coefficient and its canonical standard error, we distinguish whether or not there is singular signal (or failure).

Keywords

autoregressive processes; electrostatic devices; failure analysis; gyroscopes; inertial navigation; recursive estimation; time-varying systems; AIC criterion; canonical standard error; electrostatic suspended gyro; failure; failure diagnosis; optimum estimation; random drift rate; recursive algorithm; residual variance; singular signal; time-varying coefficient; time-varying coefficient autoregressive model; Covariance matrix; Electrostatic analysis; Entropy; Equations; Failure analysis; Inertial navigation; Reactive power; Recursive estimation; Stability; Time varying systems; White noise;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.570796

Filename

570796