Calibration transfer and drift counteraction in chemical sensor arrays using Direct Standardization
Calibration transfer and drift counteraction in chemical sensor arrays using Direct Standardization
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DOI：
10.1016/j.snb.2016.05.089
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发表时间：
2016-11-29
影响因子：
8.4
通讯作者：
Marco, S.
中科院分区：
文献类型：
--
作者：
Fonollosa, J.;Fernandez, L.;Marco, S.
化学传感器的固有可变性使得有必要单独校准化学检测系统。这个缺点传统上限制了基于金属氧化物气体传感器阵列的系统的可用性，并且阻止了某些应用的大规模生产。在这里，为了探索化学传感器阵列之间的校准转移，我们将5个双8传感器检测单元暴露于不同浓度水平的乙醇、乙烯、一氧化碳或甲烷。首先，我们使用主单元采集的数据建立校准模型。其次，为了探索校准模型的可移植性，我们使用直接标准化将从单元的信号映射到校准中主单元的空间。特别是，我们评估了校准模型到其他检测单元的可转移性，以及在相同的单元内相隔几天测量。我们的研究结果表明，与一个单位采集的信号可以成功地映射到一个参考单位的空间。因此，利用主单元训练的校准模型可以使用减少数量的传递样本扩展到从单元，从而减少校准成本。类似地，感测单元的信号可以被变换以匹配过去的传感器行为，以减轻漂移效应。因此，所提出的方法可以降低校准成本，在大规模生产和延迟重新校准，由于传感器老化。获取的数据集公开提供。
Inherent variability of chemical sensors makes it necessary to calibrate chemical detection systems individually. This shortcoming has traditionally limited usability of systems based on metal oxide gas sensor arrays and prevented mass-production for some applications. Here, aiming at exploring calibration transfer between chemical sensor arrays, we exposed five twin 8-sensor detection units to different concentration levels of ethanol, ethylene, carbon monoxide, or methane. First, we built calibration models using data acquired with a master unit. Second, to explore the transferability of the calibration models, we used Direct Standardization to map the signals of a slave unit to the space of the master unit in calibration. In particular, we evaluated the transferability of the calibration models to other detection units, and within the same unit measuring days apart. Our results show that signals acquired with one unit can be successfully mapped to the space of a reference unit. Hence, calibration models trained with a master unit can be extended to slave units using a reduced number of transfer samples, diminishing thereby calibration costs. Similarly, signals of a sensing unit can be transformed to match sensor behavior in the past to mitigate drift effects. Therefore, the proposed methodology can reduce calibration costs in mass-production and delay recalibrations due to sensor aging. Acquired dataset is made publicly available.