摘要
为监测柴油机的润滑和磨损工况,利用原子发射光谱仪跟踪分析船舶装备的两种类型柴油机的在用润滑油,获得润滑油中21个元素的含量变化。应用因子分析法分析油样的光谱数据,基于载荷矩阵和因子得分分析,油样数据由3个因子组成,分别代表添加剂、磨损和海水。3个因子的三维图可清晰地显示每个油样所代表的磨损程度、被海水污染程度和添加剂特征。研究表明:借助于因子分析法分析油样的发射光谱数据,不仅能比较理想地对不同配方的油样进行分类,而且能揭示磨损的程度,还能有效地监测润滑油受到海水污染的程度。
In order to monitor the diesel engine condition of lubrication and wear,the atomic emitting instrument was used to trace and analyze routine oil samples from the two types diesel engines equipped on the ships,and the concentration of 21 elements in each oil sample was obtained.The spectral data of all oil samples were analyzed by using factor analysis method.Based on load matrix and factor score analysis,the oil sample data was composed of three factors,respectively representing additive,wear and seawater.The three-dimensional image of three factors can clearly show the wear,contamination and additive characteristics of each oil sample.The results show that using the method of analyzing the emission spectrum data of oil samples by factor analysis can classify the oil samples with different formulations,and can reveal the degrees of the wear of engine and the oil contamination by seawater.
作者
李婧
田洪祥
刘韬
孙云岭
吴向君
LI Jing;TIAN Hongxiang;LIU Tao;SUN Yunling;WU Xiangjun(College of Power Engineering,Naval University of Engineering,Wuhan Hubei 430033,China)
出处
《润滑与密封》
CAS
CSCD
北大核心
2019年第7期107-111,共5页
Lubrication Engineering
基金
预研基金项目(9140A270201)
湖北省自然科学基金项目(2010CDB01505)
关键词
油液监测
发射光谱
因子分析
柴油机
状态监测
oil monitoring
AE spectrum
factor analysis
diesel engine
condition monitoring
