摘要
提出了一种基于多传感器信息融合技术对油品质量进行在线监测的新方法 ,通过对粘度、温度、介电常数的测量 ,建立了神经网络油品质量状态监测模型 。
A novel method based on multi-sensor data fusion technology for on-line monitoring the quality of oil is put forward.By means of measuring the viscosity, temperature and dielectric constant of the oil, a neural network model for monitoring the quality of oil is built. The design project of this system is also given.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2003年第5期528-529,532,共3页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金资助项目 (5 9990 472 )
