Research on Fault Prediction of Modern Aviation Electronic Equipment Based on Improved Grey Model ()
Junjie Zhou,
Qigen Jing,
Xinhua Xie,
Naidong Zhou
Equipment Department of Unit 95988, Aviation University of Air Force, Chang Chun, China.
Unit 95926, Aviation University of Air Force, Chang Chun, China.
DOI: 10.4236/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.
Share and Cite:
J. Zhou, Q. Jing, X. Xie and N. Zhou, "Research on Fault Prediction of Modern Aviation Electronic Equipment Based on Improved Grey Model,"
Journal of Software Engineering and Applications, Vol. 6 No. 3B, 2013, pp. 1-3. doi:
10.4236/jsea.2013.63B001.
Conflicts of Interest
The authors declare no conflicts of interest.
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