基于主成分分析的船舶柴油机故障监测方法

Fault Diagnosis of Marine Diesel Engine Based on Principal Component Analysis

为研究船舶柴油机运行状态与热工参数之间的联系,通过监测热工参数的变化来判断船舶柴油机当前的状态。以12K98ME-C柴油机为研究对象,采用主成分分析法对其12种热工参数进行分析,揭示柴油机性能各热力参数之间存在很大的内在联系。在样本数据中加入异常点,采用T2统计量和Q统计量对故障点进行检测分析,进而验证该方法对故障监测的有效性。研究发现柴油机热工参数之间的相关性非常强,采用该方法可达到很好的降维效果,能准确识别出柴油机的异常状态。

In order to study the relationship between the marine diesel engine operating state and the thermal parameters and judge the status of marine diesel engine by monitoring the change of the thermal parameters,taking the 12K98ME-C diesel engine as the research object,the 12 kinds of thermal parameters are analyzed by the Principal Component Analysis(PCA),and the inherent relationship between the thermodynamic parameters of the diesel engine is revealed.Then outliers are added into the sample data,and the fault points are detected and analyzed by T2 statistics and Q statistics.It is found that the correlation between the thermal parameters of the diesel engine is very strong.The method can effectively reduce the dimension and can accurately identify the abnormal state of the diesel engine.