基于神经网络的标准孔板气体流量测量  

Standard Orifice Measurement of Gas Flow Based on ANN

作　　者：华陈权[1] 郑金吾[1] 

机构地区：[1]石油大学信息与控制工程学院,山东东营257061

出　　处：《化工自动化及仪表》2003年第1期55-57,共3页Control and Instruments in Chemical Industry

摘　　要：提出基于BP神经网络的标准孔板气体流量测量方法 ,测得的流量不需要补偿就可以保证全量程范围内有较高的准确度。A new approach to measure gas flow by standard orifice based on ANN is presented.After testing the trained ANN and comparing with the actual data,it can be concluded that the technology has gotten better result.The approach may be applied to measure gas flow.Further,the approach is the same with measurement of gas flow by means of other standard units.

关 键 词：标准孔板 气体流量 设计条件 人工神经网络 

分 类 号：TH814[机械工程—仪器科学与技术]