Processing Signal Information from Multisensor System in Tasks of Monitoring the Quality of Objects

A method and algorithm for processing signal information from multisensor system in tasks of monitoring the quality of objects was proposed. The developed method was tested on a data set obtained during an experiment using an array of potentiometric sensors on real industrial samples of the analyzed objects. Identification quality indicators were compared with those previously known in the world scientific literature. As a result of applying the developed approach, an increase in the precision of the analysis is observed due to the usage in the monitoring system of time series values for previous points in time and applying of weighting coefficients for the significance of measurement results. The described approach can be used at "Industry 4.0" enterprises in software that provides quality monitoring of production processes, including in real time, as well as for processing data from a multisensor system during express analysis of samples.