The Wear Fault Prediction Model of Aero-engine based on the Gray System Theory
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.
Wu Zhenfeng Guo Lin Zuo Hongfu
National Defence Key Laboratory of C 4 ISR, The 28th Research Institute of the CETC, 210007, Nanjing Nanjing University of Science and Technology, 210007, Nanjing, China Civil Aviation College, Nanjing University of Aeronautics and Astronautics, 210016, Nanjing, China
国际会议
2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)
南京
英文
2007-11-18（万方平台首次上网日期，不代表论文的发表时间）