关键词: 质量流量, 压力, 数据融合, 神经网络

Abstract:

The mass flow measurement precision was affected by the pressure,and the precision was becoming worse with the pressure grew.Multi mass flow sensors were applied to obtain the measurement data which were fused by an adaptive weighted data fusion method.Besides,the back propagation(BP) neural network was utilized for carrying out the mass flow data fusion for restraining the pressure disturbance,so as to eliminate the sensitiveness of the mass flow measurement to pressure disturbance.The research results demonstrate that the mass flow measurement precision can be improved largely after the BP neural network data fusion than after the adaptive weighted fusion,and the BP neural network is with the highest fusion precision by additional momentum algorithm,worse by adaptive learning speed regulating algorithm and the worst one by gradient descending algorithm.

Key words: mass flow, pressure, data fusion, neural network