Software detection of characteristics data of optical signals received in multiparametric capillary sensors of diesel fuel

Multiparametric capillary sensors are used for examination of liquids. The measurements results from such sensors are data from time series measurements taken during the movement of the fluid inside the capillary. The truthful characterization requires simultaneous measurements at different capillary points or performed with different techniques or specification. Points and tracks of time series can be analyzed simultaneously. Such analysis performed by trained human operators is time consuming and sometimes not precise because of slow signals levels variations resulting from device imperfection, and fast variations resulting from the presence of noise. The paper presents result of software characteristic data detection from a two-channel capillary sensor. One channel is for the reflected signal measurement; the other channel is for sensing of the scattered signal. The fluid movement inside the capillary is forced by local heating. The software analysis allows the classification of diesel and biodiesel fuel by their content on the base of the slopes of signals manifestation. Obtained results show that the automated analysis of the differences between two simultaneous channels of signals provides more precise data than those obtained from independent time series analysis.