Application of on-line wavelet decomposition technology in drift detection of gas sensor

被引：0
|
作者：
Ding, Hui [1 ]
Liu, Junhua [1 ]
Shen, Zhongru [1 ]
机构：
[1] Sch. of Elec. Eng., Xi'an Jiaotong Univ., Xi'an 710049, China
来源：
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2002年 / 36卷 / 12期
关键词：
Algorithms - Error detection - Simulation - Wavelet transforms;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In order to improve the sensitivity of drift detection for gas sensors, an on-line wavelet decomposition algorithm (OLMS) is applied. Unlike the traditional wavelet decomposition algorithm, OLMS is adaptively used on line. Applying this algorithm, the sensor signal can be decomposed into multi-scales, which makes the drift features separated sensitively from noises or other events. Moreover, a modified median filtering method is proposed to eliminate the outliers in the collected data successfully. Detailed description of the algorithm is given and its superior performances are illustrated by simulation.
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页码：1219 / 1221
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