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Erschienen in:
2023 | OriginalPaper | Buchkapitel
On a Method for Identifying Failure Models of Complex Systems
verfasst von : Anatolii Smetankin, Sergei Efimenko, Eduard Zheleznov, Yliia Cimai, Igor Chernorutsky, Sergei Kolesnichenko
Erschienen in: Cyber-Physical Systems and Control II
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Abstract
One of the methods of effective diagnosis of complex systems is considered in the article. The key feature of the suggested method is that the identification of the failure model is conducted in conditions of insufficient information using small ordered samples. When applying the methods of the theory of stochastic indication, the features of a limited volume and rapid aging of information are taken into account. Expansion of the range of possibilities of such a method is achieved by an operator algebraic or integro-differential transformation of the initial information, and the research is carried out on small samples presented in the form of a variational series. As a result, it is guaranteed to find a way to convert data to obtain statistics independent on the parameters of the parent distribution. If analytical construction is not possible, the distribution function of such statistics can be determined as a result of statistical modeling.