摘要
为了提高检测仪表的测量精度和测量的稳定性,文章探讨了适合于检测仪表的数据融合方法。针对单传感器的检测仪表,采用分批估计和统计相结合的融合方法;对于多传感器的检测系统,主要讨论了加权平均和神经网络两种数据融合方法。最后用神经网络方法来处理多压力传感器构成的检测系统的数据,并进行了效果分析。通过应用实例,验证了数据融合方法在检测仪表中提高测量精度和稳定性所起的作用。
In order to enhance the accuracy and stability of measuring instrument, methods of data fusion are discussed in this paper. In the measuring instrument using single sensor, the method of data fusion is combination between batching estimation and statistic. In the measuring system of using multi sensors, weighted mean and neural network are usually used. In the end of this paper, the method of neural network is used to process multi pressure sensors, and the conclusion shows that the data fusion method can enhance the accuracy and stability of measuring instrument.
出处
《东华理工大学学报（自然科学版）》
CAS
2008年第1期89-92,共4页
Journal of East China University of Technology(Natural Science)
基金
赣教技字(【2005】212号)
东华理工学院院长基金项目(DHY0408)
关键词
数据融合
分批估计
加权平均
神经网络
data fusion
batching estimation
weighted mean
neural network
