Statistical Data Processing for Radio Equipment in Case of Technical Condition Deterioration

The paper deals with two procedures for detecting the process of technical condition deterioration of aircraft ground support equipment in the corresponding operation system. In decision-making theory and statistical sequential analysis, such procedures are classified as the fastest detection of a random deterioration availability, when breaking a stationary random process at a predetermined observation interval. Four models of stationarity breaking were considered: stepwise, linear, quadratic and linear stepwise model. These models characterize possible changes in the initial statistics – the duration of the operating time between failures. The synthesis of two procedures was carried out using a heuristic approach. The first procedure is based on an estimation algorithm of parameters of technical condition degradation using the maximum likelihood method. The second procedure is synthesized based on a piecewise-linear approximation of dependence between operating time between failures and failure number. The analysis of detection procedures was carried out using statistical simulation. For a comparative analysis of procedure effectiveness, the corresponding characteristics of deterioration detection were constructed. The analysis showed that for all deterioration models the second procedure is more effective.