船舶柴油机黑色金属磨损状态分类模型研究

Research on Classification Model of Ferrous Metal Wear Condition for Diesel Engine

探讨了将逐步回归分析方法用于船舶柴油机黑色金属磨损状态分类模型的方法和技术.利用已取得的油液监测中黑色金属磨粒数据,首先介绍按多元线性回归方法建立磨损状态分类模型的过程,在此基础上,采用逐步回归分析来改进该模型,以更好能依据其预测黑色金属磨损状态.

The stepwise regression analysis approach,which is used to classify the wear model of Ferrous metal in ship diesel , is discussed. Using the history Ferrous metal data in oil monitoring , firstly according to the multivariate regression approach to construct the classification model,then using the stepwise regression analysis to improve the model. It will be more helpful to diagnose the wear status.