摘要
齿轮疲劳磨损试验油样光谱分析研究表明:Fe、Cr元素质量分数表现磨损规律不明显,Cu元素表现明显,元素质量分数梯度参数更能反映齿轮的磨损变化规律;齿轮疲劳磨损试验大约在50 h后进入正常磨损期.在此基础上,提出了把Cr元素质量分数拆分为线性趋势项和残差序列项,并对其进行AR时序组合建模和预测分析,经光谱试验数据检验,取得了满意的效果.该研究为机械设备的摩擦磨损分析、状态监测和故障预测诊断提供了有益的途径.
The spectrographic oil analysis of gear fatigue wear test showed it was not obvious that the wear rule was reflected through using Fe and Cr mass fraction,but it was clear as using Cu mass fraction.At the same time,analysis showed element mass fraction gradient could represent more the wear rule of the testing gear,and gear wear entered normal wear stage after 50 h.On this basis,Cr mass fraction has been separated the linear trend item and the residual sequence item,which was used to establish the AR time-s...
出处
《郑州大学学报（工学版）》
CAS
北大核心
2009年第4期76-80,共5页
Journal of Zhengzhou University（Engineering Science）
基金
广东省汽车工程重点研究实验室项目(2007A03013)
关键词
齿轮
磨损试验
光谱油样分析
时序建模
gear
wear test
spectrographic oil analysis
time-series modeling
