[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.
　FENG Wei,XIE Xiaopeng,LIU Yu.Spectrographic Oil Analysis of and Modeling Study on Gear Wear Test[J].Journal of Zhengzhou University (Engineering Science),2009,30(04):76-80.
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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
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:
Spectrographic Oil Analysis of and Modeling Study on Gear Wear Test
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
1．Automobile Tribology and Fault Diagnosis Institute，South China University of Technology，Guangzhnu 5 1 064 1，China；2．De—partment of Marine Engineering，Guangzhou Maritime College，Guangzhou 510725，China
关键词:
齿轮;  磨损试验;  光谱油样分析;  时序建模
Keywords:
ear; wear test; spectrographic oil analysis; time—series modeling
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 spectrographic oil analysis of gear fatigue wear test showed it was not obvious that the wear rulewas reflected through using Fe and Cr mass fraction，but it was c]ear as using Cu mass fraction．At the sametime，analysis showed element mass fraction gradient could represent more the wear rule of the testing gear，andgear wear entered normal wear stage after 50 h．On this basis，Cr mass fraction has been separated thelinear trend item and the residual sequence item，which was used to establish the AR time—series combinationmodel．And forecasting analysis was carried out．Satisfactory result was achieved after the spectrum experimentdata examination．This study provides apowerful and efficient method for friction and wear analysis，state an—nitoring and fault forecasting of machine equipment．

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更新日期/Last Update: 1900-01-01