摘要
采用典型相关系数和灰色关联度计算,分析了油液监测参数中与磨损相关的元素、油液添加剂元素以及油液粘度之间的关系,从而根据它们的相关程度并结合部分成分变化有助于故障分析、异常状况的确认,或者为了节省成本和时间,可以根据指标的相关性省去一些指标的检验。通过计算对比,得出在贫信息的情况下灰色关联度比典型关联度更能说明因素间的关系。
The relationships among wear elements, additive elements and viscous degree of oil were analyzed by computing classical correlation coefficient and grey correlation coefficient respectively. Correlation degrees of them with variety of them could be helpful to fault diagnosis and recognition of abnormal conditions; or some items could be reduced according to their correlations to save monitoring cost and time. Under the condition of less information, grey relational degree can describe relationships of factors better than the classical one.
出处
《润滑与密封》
EI
CAS
CSCD
北大核心
2005年第4期65-67,70,共4页
Lubrication Engineering
基金
上海汽车集团资助项目(0204).
