Highlights<'/> Dual-channel mid-infrared sensor based on tunable Fabry-Perot filters for fluid monitoring applications
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Dual-channel mid-infrared sensor based on tunable Fabry-Perot filters for fluid monitoring applications

机译：基于可调Fabry-Perot滤光片的双通道中红外传感器，用于流体监测应用

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Highlights•The development of a mid-infrared spectroscopic fluid sensor is presented.•The sensor is based on two miniaturized tunable Fabry-Pérot filters.•Spectra of deteriorated engine oil samples are measured and compared.•The wavenumber shift of the spectra is algorithmically corrected.•Multivariate methods enable an accurate prediction of oil condition parameters.AbstractIn this article, the design and application of an optical sensor for fluid monitoring based on two tunable Fabry-Pérot filters is presented. The sensor enables fluid transmission measurements in the spectral ranges from 1818 cm−1to 1250 cm−1and from 1250 cm−1to 952 cm−1at wavenumber-dependent resolutions between approximately 20 cm−1and 33 cm−1. A novel method is proposed to ensure a correct wavenumber representation of the obtained spectra, correcting for an oblique light path in the optical system. The sensor shows high linearity and a low noise level for absorbance measurements. As an example for a fluid monitoring application, the transmission spectra of deteriorated automotive engine oil samples were measured and compared to spectra obtained with a Fourier-transform infrared spectrometer. We used partial least squares (PLS) regression to construct calibration models for the prediction of significant oil condition parameters, like oxidation, sulfation, water content and viscosity, from the obtained spectra. The values predicted from the absorption spectra show high correlation with reference values of the oil condition parameters determined in a laboratory according to appropriate standards. These results indicate that the sensor can be a useful supplementary tool for fast and cost-effective engine oil condition monitoring.
机译： 突出显示 • 介绍了中红外光谱流体传感器的开发。 • 该传感器基于两个小型化的可调Fabry-Pérot滤波器。 • 光谱测量并比较劣化的机油样品。 • 光谱的波数偏移在算法上是正确的 • 使用多变量方法可以准确预测机油状况参数。 摘要 − 1 到1250 cm -1 ，并从1250-cm − 1 到952 cm − 1 ，其波数相关分辨率在大约20 cm -1 和33 cm -1 之间。提出了一种新颖的方法来确保获得的光谱的正确波数表示，并校正光学系统中的倾斜光路。传感器显示出高线性度和低噪音水平，可用于吸光度测量。作为流体监控应用的一个示例，对变质的汽车发动机机油样品的透射光谱进行了测量，并将其与使用傅立叶变换红外光谱仪获得的光谱进行比较。我们使用偏最小二乘（PLS）回归来构建校准模型，以根据获得的光谱预测重要的油况参数，例​​如氧化，硫酸化，水含量和粘度。根据吸收光谱预测的值与实验室根据适当标准确定的机油状况参数的参考值显示出高度相关性。这些结果表明该传感器可以作为快速，经济高效的发动机机油状态监测的有用补充工具。

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