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基于灰色时序的航空发动机磨损故障预测模型
引用本文:周新立,钟新辉,李艳.基于灰色时序的航空发动机磨损故障预测模型[J].长沙航空职业技术学院学报,2004,4(1):20-21,30.
作者姓名:周新立  钟新辉  李艳
作者单位:空军工程大学工程学院,陕西,西安,710038
摘    要:把时序AR(n)预测模型和灰色GM(1,1) 预测模型两者有机结合起来,形成新的灰色时序模型的预测模型.以发动机光谱为例,经过实测数据检验,显示了其更好的预测效果.

关 键 词:时序模型  灰色模型  航空发动机  磨损  灰色时序模型  航空发动机  磨损故障  预测模型  Model  Time  Sequence  Gray  Based  Faults  Wear  Method  of  预测效果  显示  数据检验  光谱  结合
文章编号:1671-9654(2004)01-020-02

A Forecasting Method of Aero-engine Wear Faults Based on Gray Time Sequence Model
ZHOU Xin-li,ZHONG Xin-hui,LI Yan.A Forecasting Method of Aero-engine Wear Faults Based on Gray Time Sequence Model[J].JOurnal of Changsha Aeronautical Vocational and Technical College,2004,4(1):20-21,30.
Authors:ZHOU Xin-li  ZHONG Xin-hui  LI Yan
Abstract:Time sequence forecasting model and gray system forecasting model are combined to form into the gray time sequence model. With reference to the data of aero-engine's oil spectral analysis,the forecasting method research of the wear faults upon the application of time sequence model,gray system model and combination model are conducted,and the gray time sequence forecasting model is more efficient.
Keywords:Time sequence model  gray system model  aero-engine  wear
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