Drift compensation of gas sensor array data by Orthogonal Signal Correction
Drift compensation of gas sensor array data by Orthogonal Signal Correction
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DOI：
10.1016/j.chemolab.2009.10.002
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发表时间：
2010-01-15
影响因子：
3.9
通讯作者：
Marco, S.
中科院分区：
文献类型：
--
作者：
Padilla, M.;Perera, A.;Marco, S.
漂移是影响气体传感系统可靠性的一个重要问题。传感器老化、记忆效应和环境干扰会导致传感器响应发生变化，从而使气体或气味识别的初始统计模型在相对较短的时间内（通常是几周）后失效。需要经常重新校准以保持系统精度。然而，当重新校准涉及大量样本时，它们会变得昂贵且费力。一种有趣且成本较低的替代方案是通过信号处理技术来抵消漂移。正交信号校正（OSC）被提出用于化学传感器阵列中的漂移补偿。 OSC 的性能也与分量校正 (CC) 进行了比较。采用简单的分类算法来评估算法在数据集上的性能，该数据集由使用十七个导电聚合物气体传感器阵列在十个月内测量三种分析物组成。 (C) 2009 Elsevier B.V. 保留所有权利。
Drift is an important issue that impairs the reliability of gas sensing systems. Sensor aging, memory effects and environmental disturbances produce shifts in sensor responses that make initial statistical models for gas or odor recognition useless after a relatively short period (typically few weeks). Frequent recalibrations are needed to preserve system accuracy. However, when recalibrations involve numerous samples they become expensive and laborious. An interesting and lower cost alternative is drift counteraction by signal processing techniques. Orthogonal Signal Correction (OSC) is proposed for drift compensation in chemical sensor arrays. The performance of OSC is also compared with Component Correction (CC). A simple classification algorithm has been employed for assessing the performance of the algorithms on a dataset composed by measurements of three analytes using an array of seventeen conductive polymer gas sensors over a ten month period. (C) 2009 Elsevier B.V. All rights reserved.