The wear fault prediction model of aero-engine based on the gray system theory

被引:0
|
作者
Wu Zhenfeng [1 ]
Lin, Guo [2 ]
Zuo Hongfu [3 ]
机构
[1] CETC, Res Inst 28, Key Lab CISR, Nanjing 210007, Peoples R China
[2] Nanjing Univ Sci & Technol, Sci & Technol Import & Export Co, Nanjing 210007, Peoples R China
[3] Nanjing Univ Aeronaut & Astronaut, Civil Avait Coll, Nanjing 210016, Peoples R China
关键词
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暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The prediction of the aero-engine wear fault is one of the major measures that ensure the safe and economical operation of the military and civil aero-crafts. However, in consideration of the specific characteristics of the data sequence of the lubricating oil spectrum analysis and ferro-graph analysis, the traditional application of the time sequence is to some degree limited for the application of modeling prediction. Hence the prediction model based on gray system theory is introduced, aiming at analyzing and comparing the specific modeling prediction test by the methods of time sequence modeling prediction and gray system theory modeling prediction, so as to validate the advantages of the prediction model of gray system theory modeling in the application of the aero-engine wear fault prediction.
引用
收藏
页码:528 / 532
页数:5
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