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Self-heating in pulsed mode for signal quality improvement: application to carbon nanostructures-based sensors

机译:脉冲模式下的自加热以改善信号质量:在基于碳纳米结构的传感器中的应用

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摘要

Sensor signal instability and drift are still unresolved challenges in conductometric gas sensors. Here, the use of self-heating effect to operate a gas sensor in a pulsed temperature modulation mode (pulsed self-heating operation) is presented as an effective method to enhance signal stability and reduce consumption figures down to a few W. The sensor operation temperature was pulsed periodically between two levels, obtaining two different sensing states from one single device driven with self-heating, i.e. free of heater. The signal differences between both operating points correlated well with gas concentrations and displayed no drift. This methodology is exemplified with a thorough study of the response of carbon nanofibers to humidity. Specifically, after analyzing the influence of the pulse characteristics (i.e. temperature variation, pulse period and pulse duty cycle) on the sensor performance, thumb rules to select suitable pulsing conditions are provided. The methodology is successfully extended to other target gases, such as NO2 and NH3. Finally, its implementation in a real-time sensing system with low computational requirements is demonstrated and discussed in detail.
机译:在电导率气体传感器中,传感器信号的不稳定性和漂移仍未解决。在此,提出了利用自热效应在脉冲温度调制模式下操作气体传感器(脉冲自加热操作)作为提高信号稳定性和将功耗降低至几W的有效方法。传感器操作温度在两个水平之间周期性地脉动,从一个具有自加热功能(即没有加热器)的单个设备获得两个不同的感应状态。两个工作点之间的信号差与气体浓度密切相关,并且没有漂移。通过对碳纳米纤维对湿度的响应进行深入研究,可以举例说明该方法。具体而言,在分析了脉冲特性(即温度变化,脉冲周期和脉冲占空比)对传感器性能的影响之后,提供了选择合适脉冲条件的经验法则。该方法已成功扩展到其他目标气体,例如NO2和NH3。最后,详细说明并讨论了其在低计算量的实时传感系统中的实现。

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