Research on Combination Forecast Model of Aerospace Relay's Storage Life. Issue 4 (June 2019)

• Record Type: Journal Article
• Authors: Wang, Ying; Liang, Kai; Liu, Qi; Zhang, Ting; Li, Shou; Gou, Yao; Li, Bao Hua; Liu, Jin Ran
• Is Part Of: Journal of physics. Volume 1213:Issue 4(2019)
• Publication Date: 2019-06
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1213/4/042027
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: With the rapid development of China space industry, relay is widely used in aerospace control system, thus it has a higher request for the relay reliability. The space relay is stored for a long time and may have a storage life of 15-20 years or much longer. In order to ensure that the relay always keeps in the activated state, it has very practical significance to predict the storage life of relay. Firstly, a single prediction model of space relay storage life is established, such as gray system theory prediction model and neural network prediction model. Then the prediction results are analyzed and the model error evaluation is carried out. According to the results of comparison, the advantages and disadvantages are obtained and improved. Finally, the storage life combination model of space relay is established, and Matlab software is used for the simulation and prediction of gray neural network to improve the accuracy of the prediction model