DATA PROCESSING DURING CONDITION BASED MAINTENANCE OF RADIO ELECTRONIC EQUIPMENT

Abstract

The paper deals with the problem of necessity substantiation of statistical data processing procedures in case of radio electronic equipment operation. These procedures are used in case of realization of preventive maintenance at the use of operation strategy according to the condition with control of diagnostic variables. The basic elements of typical operation system for radio electronic equipment are considered in the paper. The analysis of models for typical elements of operation system is carried out. Radio electronic equipment is the main element of operation system, therefore the problem of statistical data processing was considered for the model of diagnostic variables trend for this equipment. The model is adopted for diagnostic variables trend, which belongs to the type of random processes with changepoint. The steady-state period of diagnostic variables trend is characterized by a random duration, which is described by normal probability density function. The period of technical state deterioration of radio electronic equipment is described by a sum of a linear function with deterministic but unknown inclination angle and uniform random variable. The quantitative estimation of data processing efficiency (availability coefficient and average operation costs) was determined by simulation modeling. The simulation results showed that there is an optimal value of preventive threshold, at which the resource costs are minimal. This result can be explained by existence of a balance between costs for repair and maintenance.