气体传感器特性漂移抑制的研究  

Study on the Drift Rejection for Gas Sensor

作　　者：丁晖[1] 刘君华[1] 申忠如[1] 阎晓艳[1] 

机构地区：[1]西安交通大学电气工程学院,西安710049

出　　处：《计量学报》2002年第1期69-73,共5页Acta Metrologica Sinica

摘　　要：在对气体进行长期在线监测的场合 ,所要解决的关键问题之一就是气体传感器特性漂移的抑制。传感器特性漂移会给气体的测量和识别带来误差。对此 ,本文提出一种动态在线标定法。该方法能够对传感器漂移故障做出判定 ,同时可实现测量误差的修正。文中对该方法进行了详细的描述和论证。The drift should be addressed as one of the most serious impairments for gas sensor. When drift exists, the gas measurement or identification result may cause error. To solve this, a dynamic on line calibration method is proposed in this paper. By this method the sensor drift can be detected accurately and the measurement error caused by sensor drift may be corrected at the same time. Detailed descriptions of this method are given. The simulation results show that the method is valid.

关 键 词：气体传感器 神经网络预测器 混合气体识别 气体 在线监测 特性漂移 故障诊断 抑制 测量误差 修正 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]