摘要
为了提高液压油污染状况检测的准确性 ,本文采用数据融合技术 ,使用人工神经网络处理数据 ,对某型装备的液压油的污染状况进行了进一步分析 。
Data fusion technology was adopted to improve the veracity of the contamination inspecting of the hydraulic oil. A type of ANN was used to deal with the data so as to analyze the hydraulic oil contamination status of some equipment.The training effect of the ANN was checked based on the data acquired from the hydraulic system.
出处
《机床与液压》
北大核心
2004年第10期88-89,198,共3页
Machine Tool & Hydraulics
关键词
数据融合技术
液压油
污染检测
神经网络
Data fusion technology
Hydraulic oil
Contamination level inspection
ANN
