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Research on Oil Spectral Analysis Diagnosis Method Based on Multivariate Linear Regression

机译:基于多变量线性回归的油光谱分析诊断方法研究

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Oil spectral analysis is one of the important methods of condition monitoring. This paper uses the theory of multivariate linear regression to establish the regression equation to establish the diagnosis model of multivariate linear regression. Monitoring the abnormal abrasion is based on the analysis of the regression value of the regression equation. It also analyzes the characteristic of abnormal abrasion and give out the limit value of abnormal abrasion. In the paper, there also have a diagnose example which prove the correctness of the diagnose model.
机译:油光谱分析是条件监测的重要方法之一。本文采用多变量线性回归理论来建立回归方程,以建立多变量线性回归的诊断模型。监测异常磨损是基于回归方程的回归值的分析。它还分析了异常磨损的特征,并透露出异常磨损的极限值。在本文中,还存在诊断例,证明诊断模型的正确性。

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