Hidden markov models of technical control of technical condition parameters of self-propelled sprayers

Abstract

The main indicator used to study the reliability are hidden Markov models of technical control of the technical condition of self-propelled sprayers, which means the probability that the self-propelled sprayer will be operational at any time, except for planned periods during which the use of self-propelled sprayers is expected. Derivation of the analytical expression for hidden Markov models of technical control of the parameters of the technical condition of self-propelled sprayers - a rather time-consuming operation. The complexity increases with the complication of the graph, ie in an effort to take into account more technical conditions, factors that affect the process of technical control of self-propelled sprayers. Therefore, it is advisable to solve the problem of such a plan using a simulation model. Using the Stateflow modeling tool of the Matlab software package, a model has been developed that allows modeling discrete-event models. Model of self-propelled sprayers among Stateflow for estimating the coefficient of readiness during technical control of programs. The results of simulation are the values of hidden Markov models of technical control of the parameters of the technical condition of self-propelled sprayers in various technical control programs, which allows us to draw conclusions about the impact of technical control of self-propelled sprayers on the readiness factor.The probabilities of errors varied from 0 to 1, which is quite justified in cases where the technical control differs only in the place of measurement of the parameter of technical condition, and the means of measurement are the same. The author found that the readiness factor is sensitive to errors of the second kind in this case. Ways of further research are found in the study of other programs of technical control of self-propelled sprayers, in which the readiness factor is sensitive to the probability of errors of the first kind.