DocumentCode
691085
Title
Influence and Model of SNR and Prediction Time for the Credibility of Fault Prediction
Author
Shen Jingjing ; Song Hua
Author_Institution
Sch. of Autom. Sci. & Electr. Eng., BeiHang Univ., Beijing, China
fYear
2013
fDate
21-23 Sept. 2013
Firstpage
628
Lastpage
633
Abstract
One of the difficult and key problems which must be solved for fault prediction is to measure the credibility of fault prediction results. This paper uses Monte Carlo method to build SNR and prediction time model for the credibility of fault prediction. First, using satellite attitude control system as an example, fault prediction is achieved successfully. Then the curve between SNR, prediction time and credibility estimation indicators is got by Monte Carlo method. By the method of curve fitting, model of credibility estimation indicators is built. The results show that in a certain range of accuracy, the model is appropriate. The technique provides one way to measure the credibility of fault prediction.
Keywords
Monte Carlo methods; artificial satellites; attitude control; estimation theory; fault diagnosis; Monte Carlo method; SNR; credibility estimation; fault prediction; satellite attitude control system; Accuracy; Attitude control; Error analysis; Fitting; Predictive models; Satellites; Signal to noise ratio; SNR; credibility; fault prediction; prediction time;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location
Shenyang
Type
conf
DOI
10.1109/IMCCC.2013.140
Filename
6840530
Link To Document