[1]冯伟,谢小鹏,刘粲..齿轮磨损试验光谱油样分析及建模研究[J].郑州大学学报(工学版),2009,30(04):76-80.[doi:10.3969/j.issn.1671-6833.2009.04.019]
　Feng Wei,XIE Xiaopeng,Liu Yu.Gear wear test, spectroscopic oil sample analysis and modeling study[J].Journal of Zhengzhou University (Engineering Science),2009,30(04):76-80.[doi:10.3969/j.issn.1671-6833.2009.04.019]
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齿轮磨损试验光谱油样分析及建模研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
30卷
期数:
2009年04期
页码:
76-80
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Gear wear test, spectroscopic oil sample analysis and modeling study
作者:
冯伟; 谢小鹏; 刘粲.
华南理工大学汽车摩擦学与故障诊断研究所,广东广州,510641;广州航海高等专科学校轮机系,广东广州,510725, 华南理工大学汽车摩擦学与故障诊断研究所,广东广州,510641
Author(s):
Feng Wei; XIE Xiaopeng; Liu Yu
关键词:
齿轮;  磨损试验;  光谱油样分析;  时序建模
Keywords:
DOI:
10.3969/j.issn.1671-6833.2009.04.019
文献标志码:
A
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.
Abstract:
The analysis of oil sample spectrum of gear fatigue wear test shows that the wear law of Fe and Cr elements is not obvious, the performance of Cu elements is obvious, and the element mass fraction gradient parameters can better reflect the wear change law of gears. The gear fatigue wear test enters the normal wear period after about 50 h. On this basis, it is proposed to split the Cr element mass fraction into linear trend term and residual sequence term, and the AR time series combination modeling and predictive analysis are proposed, and satisfactory results are verified by spectral test data. This study provides a beneficial way for friction and wear analysis, condition monitoring and fault prediction diagnosis of mechanical equipment.

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更新日期/Last Update: 1900-01-01