【作者】 丁晖； 刘君华； 申忠如；

【Author】 Ding Hui Liu Junhua Shen Zhongru(School of electric engineering, Xi’an Jiaotong University, Xi’an 710049, China)

【机构】 西安交通大学电气工程学院；

【摘要】 气体传感器的最大缺陷之一就是存在特性漂移,这会给气体的测量和识别带来误差。但由于传感器的漂移量一般比较小,且常常被噪声所覆盖,因此难于及时、有效地检测出来。对此,采用一种基于多分辨分析理论的在线小波分解算法有效分离出传感器输出信号中的漂移特征,从而为传感器输出漂移补偿奠定了基础。文章对该算法进行了详细的介绍,并给出了仿真计算结果说明该方法的有效性。更多还原

【Abstract】 Drift is addressed as one of the most serious impairments for gas sensor. When drift occurs, the gas measurement or identification result may be error. Because the sensor drift is generally small and usually covered by noise, it is difficult to detect it sensitively. In this paper an online wavelet decomposition algorism is applied to separate the sensor drift features from the sensor’s output, which is the base of drift compensating. Detail descriptions of this algorism are given. The superior performance of this drifting detection algorism is illustrated with simulation data.更多还原