Title :
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
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;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
