摘要
采用模糊神经网络处理监测数据,对某型装备的发动机润滑油系统的污染状况进行分析和故障诊断,并基于监测数据完成了神经网络的训练和效果的检验工作。根据分析结果进行有针对性的维修,可以节约大约30%的维修时间。
Fuzzy nerve network（FNN） was used to deal with the inspecting data of the engine lnbe acquired from the lube. The result was used to analyze the contamination level and diagnose the engine fauhs. The checking of the training effect of the FNN was accomplished with the inspecting data. About 30 percent repairing time can be retrenched according to the result.
出处
《润滑与密封》
EI
CAS
CSCD
北大核心
2006年第6期124-126,共3页
Lubrication Engineering
关键词
模糊神经网络
润滑油
污染分析
故障诊断
fuzzy nerve network
lube
contamination analyzing
fault diagnoses
