Algorithms of Reliability Data Processing for Navigation Systems

Navigation systems in civil aviation are used to ensure the safety and regularity of aircraft flights. In general, navigation equipment can be a source of various types of data, including coordinates of aircraft, results of monitoring for internal system parameters, reliability, and efficiency indicators. The operating environment including weather conditions, instability of power sources, the influence of the human factor, and others, lead to random and gradual changes in the technical condition of the equipment. These changes can lead to failures and malfunctions occurrence in the different units of equipment, a decrease in the remaining useful life of the navigation system, and an increase in operational costs for implementation of unplanned maintenance and repair procedures. This paper concentrates on the synthesis and analysis of new data processing procedures regarding the operation of navigation systems in the case of possible changes in their technical condition. The processing algorithms include two stages: a) determination of the technical condition of the equipment and b) evaluation of reliability indicators. The proposed procedures of data processing are based on the methods of classification and estimation of mathematical statistics. The paper gives recommendations for improving strategies for the predictive maintenance of navigation systems in terms of determining the preventive threshold. It is also theoretically proven that the proposed recommendations can significantly reduce the operational costs of the aviation enterprise. The results of the research can be used during the improvement of algorithmic support systems for maintenance and repair processes in terms of making management decisions when determining the technical condition of equipment. In general, the proposed data processing algorithms allow for solving two main tasks during operation: providing a given level of reliability and reducing operational costs.