Algorithms of data processing for aviation equipment reliability estimation

The reliability of the equipment affects the quality of performance of the functions assigned to it. Reliability is a complex indicator. It is influenced by a significant number of random factors, which include the equipment components aging, changes in operating weather conditions, the human factor, untimely procedures of maintenance and repair, lack of redundancy, and others. The issue of equipment reliability is especially important in the aviation industry and other industries, where the key task is to ensure the safety of human life and health. Statistical methods and data processing algorithms are usually used to estimate reliability indicators. The basis of their application is a priori information about the type of statistical model of the collected data on the operating time between failures and the operating time between restores. During the operation of the equipment, violations of its functioning modes are possible. These violations are associated with the deterioration of the technical condition. In such cases, the statistical model of the data is significantly complicated, which leads to difficulties in reliability estimation. This paper is devoted to the synthesis and analysis of a data processing algorithm under the assumption of deterioration of the technical condition of the equipment. The tasks ware solved analytically. The obtained results were verified on the basis of statistical simulation.