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- W3204043213 abstract "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." @default.
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- W3204043213 date "2021-09-15" @default.
- W3204043213 modified "2023-09-24" @default.
- W3204043213 title "Statistical Data Processing for Radio Equipment in Case of Technical Condition Deterioration" @default.
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- W3204043213 doi "https://doi.org/10.1109/acit52158.2021.9548454" @default.
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