Abstract
The paper deals with the statistical data processing algorithms in operation system of radio electronic equipment. The main purpose is analysis of data processing algorithm efficiency according to the analytical calculations and simulation results. During radio electronic equipment operation failures are possible. These failures affect on the equipment’s technical condition that can deteriorate. In case of condition-based maintenance, it is necessary to detect the time moment of deterioration beginning. Therefore, in this paper the deterioration detection algorithm was developed according to Neyman-Pearson criterion with a fixed sample size. The initial data are times between failures of radio electronic equipment, and these data can be identified by the exponential probability density function. The step-function model was chosen for failure rate change description. To estimate efficiency the operating characteristic was calculated. The simulation based on Monte-Carlo method confirmed the correctness of theoretical calculations.
Highlights
Air navigation service is an important part of civil aviation
The block diagram describes the operation system (OS) as a scheme for the formation and execution of control action on radio electronic equipment (REE) and other OS components in order to insure the reliability of the REE and the efficiency of OS functioning
This article analyses the efficiency of the data processing algorithm in the OS of REE
Summary
Air navigation service is an important part of civil aviation. This service is provided by equipment, technologies, human resources, regulatory documents (Kuzmenko, Ostroumov, & Marais, 2018). Processes of change of the technical condition during REE operation are non-stationary and random (Smith, 2005) Problems associated with the analysis of deterioration are considered as tasks of the changepoint study (Tartakovsky, Nikiforov, & Basseville, 2015) Such topics as dynamic reliability assessment are considered in several branches of technical equipment application (Wang et al, 2018). Little attention is paid to the problem of non-stationary random processes processing (in cases when these processes describe changes in the technical condition of REE and OS components) This has negative effects on the OS efficiency and REE reliability
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