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Research on Fault Prediction of Modern Aviation Electronic Equipment Based on Improved Grey Model
Unit 95926, Aviation University of Air Force, Chang Chun, China
Unit 95926, Aviation University of Air Force, Chang Chun, China
Unit 95926, Aviation University of Air Force, Chang Chun, China
Equipment Department of Unit 95988, Aviation University of Air Force, Chang Chun, China
- 1 Unit 95926, Aviation University of Air Force, Chang Chun, China
- 2 Unit 95926, Aviation University of Air Force, Chang Chun, China
- 3 Unit 95926, Aviation University of Air Force, Chang Chun, China
- 4 Equipment Department of Unit 95988, Aviation University of Air Force, Chang Chun, China
Journal of Software Engineering and Applications·Volume 06 (2013)·Pages 1–3·Published 30 March 2013·DOI10.4236/jsea.2013.63B001
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Abstract
The basic principle and method of Grey Model prediction are presented. In view of the defects of general GM(1,1) model, an improved method is proposed. That is using the particle swarm optimization algorithm to obtain the best forecast dimension and using metabolism to make the model parameters adaptively change. Finally, the improved Grey Model is used to predict the fault of high voltage power supply circuit of a certain type of modern air-borne radar. The results which are computed and simulated by Matlab software show that the forecast precision of improved Grey Model is higher than that of original Grey Model.
KeywordsGrey ModelFault PredictionModern Aviation Electronic Equipment
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