Processing and evaluation of the results of a psychological experiment using PPP Statistica in the study of the seed separator of oil seeds

Abstract

As a result of the analysis of technological methods of seed material separation and their technical support it is established that the main trends in the development of precision seed cleaning equipment are the creation of adaptive control systems that allow dynamic optimization of working modes without operator intervention. The process of separation of oilseeds is a complex system that is influenced by a large number of independent variables, and only some of them significantly affect the original parameter studied. Therefore, starting to find the optimal parameters or conditions of the studied phenomenon, it is necessary to determine in advance which independent variables are to be studied. The article presents the definition of the Kendall concordance coefficient and its statistical assessment with a priori ranking of the estimates of the influence of independent variables in a psychological experiment for a multivariate active experiment using Friedman's nonparametric analysis of variance with the use of PPP Statistica in the study of an oilseed separator. A method is proposed for determining the number of significant factors for obtaining the response function by resolving the exponential equations of transgression into areas of fast and slow fall using the proportionality coefficient of the linear equation. It was found that the assessment of the results of the psychological experiment by Friedman's analysis of variance using the PPP Statistica allows us to determine the Kendall concordance coefficient and perform its statistical assessment. To obtain a determination of the number of significant factors of the response function, it is proposed to use the exponential and linear equations of transgression together. So, for the case under consideration with a significance level of p = 0.000001, it can be argued that experts with a concordance coefficient W = 0.66967 argue that four factors - the length of the working chamber of the separator, the air flow speed, the height of the fan and the number of intake chambers most of all affect the performance of the oilseed separator. cultures.