Abstract
In the article a new method and software for assessment of UAS quality indicators is proposed. The definition of metrics for UAS quality indicators is given. To calculate the metrics by technical diagnostic data the method based on Bayesian belief network is used. The information structure of assessment process and main components of software application developed to support the dynamic UAS QI assessment during UAS testing are described.
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CITATION STYLE
Ol’ha, B., Volodymyr, K., Sergii, N., & Prila, O. (2020). Dynamic assessment of the uas quality indicators by technical diagnostics data. In Advances in Intelligent Systems and Computing (Vol. 1019, pp. 154–163). Springer Verlag. https://doi.org/10.1007/978-3-030-25741-5_16
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