数据融合在柴油机故障诊断中的应用  

Application of Data Fusion to Fault Diagnosis of Diesel Engines

作　　者：戴威[1] 王静[1] 姜耀华[1] 

机构地区：[1]镇江船艇学院,江苏镇江212003

出　　处：《农机化研究》2007年第7期168-170,共3页Journal of Agricultural Mechanization Research

摘　　要：讨论了基于Bayes网络的数据融合技术应用于柴油机故障诊断的原理和方法。同时,介绍了数据融合的定义以及多传感器数据融合的过程,阐述了数据融合技术在故障诊断中的应用。在此基础上提出了Bayes网络,并将Bayes网络数据融合技术应用于柴油机的故障诊断。该方法能够及时准确地提取柴油机的故障特征,诊断出故障部位和找出故障原因。This paper discusses the principles and methods for diagnosing faults in diesel engines based on Bayes networks. The technology of data fusion in facility fault diagnosis is described based on explanation of basic concepts and principles. Then a method of diesel engines fault diagnosis by application of data fusion is provided based on Bayes networks. The result shows that the feature of failure can be abstracted; the location and cause can be found correctly.

关 键 词：计算机应用 柴油机 应用 故障诊断 数据融合 BAYES网络 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]