Analytical Provisions for Estimating the Readiness Coefficient of Self-Propelled Sprayers under Technical Control Modes

Abstract

The main indicator used to study reliability is the availability factor, which means the probability that a self-propelled sprayer will be in working order at any time, except for the planned periods during which the self-propelled sprayer is not expected to be used for its intended purpose. Deriving an analytical expression for the availability factor is a rather laborious operation. The labor intensity increases with the complexity of the graph, i.e., when trying to take into account more technical conditions, factors that affect the process of technical control of self-propelled sprayers. In this regard, it is advisable to solve a problem of this kind using a simulation model. Using the Stateflow modeling tool of the Matlab software package, a model was developed that allows simulating discrete-event models. The Stateflow model of self-propelled sprayers for assessing the availability factor during technical control of programs. The results of the simulation modeling are the values of the availability factor for different maintenance programs - =0.88 and =0.90, which allows us to draw conclusions about the impact of the maintenance program for self-propelled sprayers on the value of the availability factor. The error probabilities ranged from 0 to 1 and were equal: and , which is quite reasonable in cases where technical control differs only in the place of measurement of the technical condition parameter, and the means of measurement are the same. The author found that the availability factor is sensitive to the second kind of error in this case. Ways for further research are found in the study of other programs of technical control of self-propelled sprayers, in which the availability factor is sensitive to the probability of first-order errors.