IDENTIFICATION OF THE MODEL OF THE VST FAILURE FLOW PARAMETER UNDER SINGLE-MODE HOLDING

Abstract

Operation of a sample of weapons and military equipment is a set of measures that includes intended use, maintenance, repair, transportation and storage. All these components of the life cycle have their own dynamic indicators, because they are in dynamic systems. Experimental search for the best conditions for keeping weapons and military equipment samples is financially burdensome and time-consuming, and sometimes not always appropriate. The dynamic systems of operation of some samples have certain limitations in terms of the occurrence of destruction, breakdowns or even explosions. The effectiveness of the use of any type of weapon is directly dependent on the conditions of keeping the sample before use. Failures that are possible in the process of detention are precisely of a probabilistic nature in the process of detention, before the start of application, which is extremely unacceptable considering the subject of weapons and military equipment. Single-mode maintenance of equipment is a component of the operation system of the weapons and military equipment sample. Technical condition failures are factors that directly affect the effectiveness of the use of equipment and weapons for their intended purpose, and are key factors influencing survivability. To carry out simulation modeling, it is necessary to identify the parameters of failure flows, which will have different manifestations depending on the conditions of detention and different manifestations depending on the type and type of weapons and military equipment. When modeling the processes of weapons and military equipment retention states, it is necessary to consider as many available methods as possible, weeding out those that have deviations from the indicators of the expected result, which at the final stage may affect the false indicators of the effectiveness of survivability maintenance measures. In this article, the analysis of the content of weapons and military equipment is carried out, considering the algorithm of the method of maximum compactness of the median model (MMCMM-identification), in addition, the analysis of structural and parametric identifications of the model of the parameter of the failure flow according to operational data is carried out. Comparison of the Maximum Compactness Method (MCM) and the Least Squares Method (LSM). Keywords: containment conditions, failure flow parameters, life cycle, survivability, influencing factors, failures, maintenance, technical condition, recovery, simulation modeling, model identification, maximum compactness method.