Data Processing for Analysis of Deteriorating Radio System with Redundancy

The radio systems with redundancy in civil aviation are used to increase the level of reliability and maintainability of equipment. However, during the operation process the technical condition of radio system can deteriorate caused by damages, faults and failures of equipment, environmental conditions, incorrect actions of maintenance stuff and others. The deterioration of technical condition can be associated with change of diagnostic variable or reliability parameter. This paper presents the procedure for statistical data analysis in case of failure rate monitoring and deterioration of radio system with redundancy. The goal of such procedure is to detect the event of deterioration occurrence. The synthesis of data processing procedure was performed based on multiple hypotheses testing and with usage of Neyman-Pearson criterion. The analysis problem is associated with operating characteristics calculation. Such problem was solved based on statistical simulation method. The results of research can be used for algorithmic support for decision-making during operation of radio systems.